community evolution detection in time-evolving information networks
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Predictions and Trends for the Next DecadeThe constant evolution of technology has transformed our lives in numerous ways, and as we enter a new decade, it's fascinating to speculate on what the future holds. In this article, we will explore some predictions and trends that are likely to shape the next ten years.Artificial Intelligence (AI) is expected to continue its rapid advancement. With machine learning algorithms becoming increasingly sophisticated, AI will become more integrated into our daily lives. From voice assistants to autonomous vehicles, AI will revolutionize various industries, enhancing efficiency and convenience.The Internet of Things (IoT) will also play a significant role in the coming decade. The ability to connect everyday devices and appliances to the internet will create a seamless network of interconnected devices. Smart homes will become the norm, with automated systems controlling everything from lighting to security.5G technology will bring about a significant transformation in the way we communicate and access information. The increased speed and bandwidth offered by 5G networks will enable faster download and upload speeds, making tasks such as video streaming and online gaming even more immersive. Additionally, the Internet of Things will rely heavily on 5G connectivity, enabling real-time communication between devices.The healthcare industry is poised for a technological revolution. With advancements in medical research and technology, we can expect breakthroughs in personalized medicine, gene editing, and regenerative medicine. Wearable devices will become more prevalent, allowing individuals to monitor their health in real-time and enabling early detection of potential health issues.Renewable energy sources will gain even greater prominence in the next decade due to increased awareness of climate change and the need for sustainable alternatives. Solar and wind power will become more accessible and efficient, leading to a reduction in greenhouse gas emissions and a shift towards a greener future.Cryptocurrencies and blockchain technology will continue to disrupt traditional financial systems. As more businesses and individuals embrace cryptocurrencies, we can expect an increase in digital transactions and a decrease in reliance on traditional banking systems. Blockchain technology will also find applications beyond finance, such as supply chain management and voting systems, ensuring transparency and security.Virtual reality (VR) and augmented reality (AR) will revolutionize various industries, including gaming, entertainment, and education. VR will offer immersive experiences, allowing users to explore virtual worlds and interact with digital environments. AR, on the other hand, will enhance the real world by overlaying digital information, creating endless possibilities for education and training.Space exploration will take giant leaps in the next decade, with plans for manned missions to Mars and beyond. Private space companies will play a crucial role inexpanding our understanding of the universe and making space travel more accessible. These advancements will not only fuel scientific discoveries but also open up new opportunities for commercial space ventures.In conclusion, the next decade promises to be an exciting time filled with technological advancements and transformative changes. From AI and IoT to renewable energy and space exploration, our world is on the cusp of a new era. Embracing these predictions and trends will undoubtedly shape the future and propel us into a more connected, sustainable, and innovative world.。
中科院自动化所的中英文新闻语料库中科院自动化所(Institute of Automation, Chinese Academy of Sciences)是中国科学院下属的一家研究机构,致力于开展自动化科学及其应用的研究。
该所的研究涵盖了从理论基础到技术创新的广泛领域,包括人工智能、机器人技术、自动控制、模式识别等。
下面将分别从中文和英文角度介绍该所的相关新闻语料。
[中文新闻语料]1. 中国科学院自动化所在人脸识别领域取得重大突破中国科学院自动化所的研究团队在人脸识别技术方面取得了重大突破。
通过深度学习算法和大规模数据集的训练,该研究团队成功地提高了人脸识别的准确性和稳定性,使其在安防、金融等领域得到广泛应用。
2. 中科院自动化所发布最新研究成果:基于机器学习的智能交通系统中科院自动化所发布了一项基于机器学习的智能交通系统研究成果。
通过对交通数据的收集和分析,研究团队开发了智能交通控制算法,能够优化交通流量,减少交通拥堵和时间浪费,提高交通效率。
3. 中国科学院自动化所举办国际学术研讨会中国科学院自动化所举办了一场国际学术研讨会,邀请了来自不同国家的自动化领域专家参加。
研讨会涵盖了人工智能、机器人技术、自动化控制等多个研究方向,旨在促进国际间的学术交流和合作。
4. 中科院自动化所签署合作协议,推动机器人技术的产业化发展中科院自动化所与一家著名机器人企业签署了合作协议,共同推动机器人技术的产业化发展。
合作内容包括技术研发、人才培养、市场推广等方面,旨在加强学界与工业界的合作,加速机器人技术的应用和推广。
5. 中国科学院自动化所获得国家科技进步一等奖中国科学院自动化所凭借在人工智能领域的重要研究成果荣获国家科技进步一等奖。
该研究成果在自动驾驶、物联网等领域具有重要应用价值,并对相关行业的创新和发展起到了积极推动作用。
[英文新闻语料]1. Institute of Automation, Chinese Academy of Sciences achievesa major breakthrough in face recognitionThe research team at the Institute of Automation, Chinese Academy of Sciences has made a major breakthrough in face recognition technology. Through training with deep learning algorithms and large-scale datasets, the research team has successfully improved the accuracy and stability of face recognition, which has been widely applied in areas such as security and finance.2. Institute of Automation, Chinese Academy of Sciences releases latest research on machine learning-based intelligent transportationsystemThe Institute of Automation, Chinese Academy of Sciences has released a research paper on a machine learning-based intelligent transportation system. By collecting and analyzing traffic data, the research team has developed intelligent traffic control algorithms that optimize traffic flow, reduce congestion, and minimize time wastage, thereby enhancing overall traffic efficiency.3. Institute of Automation, Chinese Academy of Sciences hosts international academic symposiumThe Institute of Automation, Chinese Academy of Sciences recently held an international academic symposium, inviting automation experts from different countries to participate. The symposium covered various research areas, including artificial intelligence, robotics, and automatic control, aiming to facilitate academic exchanges and collaborations on an international level.4. Institute of Automation, Chinese Academy of Sciences signs cooperation agreement to promote the industrialization of robotics technologyThe Institute of Automation, Chinese Academy of Sciences has signed a cooperation agreement with a renowned robotics company to jointly promote the industrialization of robotics technology. The cooperation includes areas such as technology research and development, talent cultivation, and market promotion, aiming to strengthen the collaboration between academia and industry and accelerate the application and popularization of robotics technology.5. Institute of Automation, Chinese Academy of Sciences receivesNational Science and Technology Progress Award (First Class) The Institute of Automation, Chinese Academy of Sciences has been awarded the National Science and Technology Progress Award (First Class) for its important research achievements in the field of artificial intelligence. The research outcomes have significant application value in areas such as autonomous driving and the Internet of Things, playing a proactive role in promoting innovation and development in related industries.。
【关键词】社会网络分析动态性社区发现改进k-均值核心节点相似度增量分析【英文关键词】Dynamic Social Network Analysis Dynamic Nature Community DetectionModifiedK-means Core Nodes Similarity IncrementalAnalysis社会网络分析论文:动态社会网络社区发现算法研究【中文摘要】现实世界中,社会网络以朋友关系网络、科研人员合著关系网络、电力网络等形式广泛存在于多个领域。
目前,社会网络分析已经成为数据挖掘中的一个研究热点。
作为社会网络分析中的一项重要内容,社区发现吸引了大量来自多个领域的专家学者的密切关注并且已经产生了大量的研究成果。
然而,作为社会网络的一个重要属性,动态性在大多数研究中没有被提及。
因而,针对动态网络中的社区发现算法研究较少。
动态社会网络中的社区发现通常是建立在某种静态算法基础上的。
而现有的社区发现算法通常存在着需要额外的先验知识作为输入和社区划分质量不高等问题。
针对这些问题,本文提出了一种基于改进的k均值算法思想的高质量社区发现算法——MKBCD。
该算法包含了一种新的初始核心节点选择方法,并给出了相关阈值的通用选择方案和一个确定非核心节点社区归属的两阶段策略。
在Zachary karate club等真实和虚拟数据集上的实验证明了新算法的效率以及在挖掘高质量社区上的优势。
在此基础上还提出了一种动态网络中骨干节点挖掘算法,能够从动态变化的社会网络中挖掘每个社区的骨干节点集合。
增量式算法是一种在动态变化的网络中挖掘社区结构的算法,适用于网络结构变化频繁,但是短时间内不会发生较大变异而且变化不影响整体社区结构的场合。
现有增量式算法存在着运行时间较长和算法精度较低等问题,无法实现效率和精度同时达到一个较高的水平。
本文在现有工作的基础之上提出了一种基于增量分析的动态社区发现算法CDBIA,分析了增量对网络中相关节点的影响及其传递过程。
环境科学与工程专业词汇包括环境学总论、环境地学、环境生物学、环境化学、环境物理学、环境工程学、环境医学、环境经济学、环境管理学、环境法学、环境教育等11大类。
环境学总论原生环境primary environment次生环境secondary environment生态示范区ecological demonstrate area环境地质学environmental geology环境地球化学environmental geo-chemistry 环境土壤学environmental soil science环境微生物学environmental microbiology环境危机environmental crisis环境保护environmental protection环境预测environmental forecasting环境自净environmental self—purification环境效应environmental effect环境容量environmental capacity环境演化evolution of environment环境舒适度environmental comfort环境背景值(本底值)environmental background value环境保护产业(环保产业)environmental production industry环境壁垒(绿色壁垒)environmental barrier绿色革命green revolution可持续发展sustainable development第三类环境问题(社会环境问题)the third environmental problem悬浮物suspended solids一次污染物primary pollutant二次污染物secondary pollutant全球性污染global pollution排污收费pollution charge 可再生资源renewable resources不可再生资源non-renewable resources自然保护区natural reserve area防护林protection forest公害public nuisance矿山公害mining nuisance工业废水industrial wastewater矿山废水mining drainage生活饮用水domestic potable water草原退化grassland degeneration沙漠化desertification人口压力population pressure人口净增率rate of population全球环境监测系统global environment monitoring system GEMS中国环境保护工作方针Chinese policy for environment protection“三同时”原则principle of “the three at the same time”二噁英公害dioxin nuisance马斯河谷烟雾事件disaster in Meuse Valley 多诺拉烟雾事件disaster in Donora伦敦烟雾事件disaster in London水俣病事件minamata disease incident骨痛病事件itai-itai disaster incident洛杉矶光化学烟雾事件Los Angeles photochemical smog episode四日市哮喘事件Yokkaichi asthma episode米糠油事件Yusho disease incident环境地学水圈hydrosphere水循环water circulation地表水surface water水位water level下渗(入渗)sinking蒸发evaporation最高水位highest water level 最低水位lowest water level 平均水位average water level 警戒水位warning water level 流速flow velocity流量discharge洪水期flood season枯水期low—water season冲刷washout 含水层aquifer隔水层(不透水层)aquiclude 透水层permeable stratum1层间水interlayer water承压水(有压层间水)confined water 或自流水artesian water孔隙水void water岩溶水(喀斯特水)karst water径流runoff flow地表径流land runoff地下水groundwater流域保护water basin protection淡水fresh water咸水saltwater降水precipitation沉淀降水量amount of precipitation降水强度intensity of precipitation水环境容量carrying capacity of water environment水土流失(土壤侵蚀)soil and water loss点源污染point source pollution面源污染non-point source pollution扩散diffusion涡流eddy current涡流扩散eddy diffusion富营养化废水eutrophic waste—water污水sewage漫灌flood irritation水底沉积物(底质或底泥)benthal deposit总固体total solids悬浮固体suspended solids总溶解固体total dissolved solids河流复氧常数constant of river reoxygenation 湖泊酸化lake acidification富营养化eutrophication富营养湖eutrophic lake中营养湖mesotrophic lake贫营养湖oligotrophic lake水库reservoir海洋处置sea disposal海底采样sea floor sample赤潮(红潮)red tide海水淡化desalination of seawater海底沉积物sea bottom sediment海洋倾倒ocean dumping水质water quality水资源综合利用water resource integrated utilization水土保持soil and water conservation河道整治channel improvement水污染毒性生物评价biological assessment of water pollution toxicity水利工程hydro—engineering水体自净self-purification of water body水环境保护功能区(水质功能区)functional district of water environment土地处理系统land treatment system土地沙漠化land desertification土壤肥力soil fertility土壤酸碱度soil acidity and alkalinity土壤污染防治prevention and treatment of soil pollution土壤盐渍化(土壤盐碱化)soil salination土壤酸化soil acidification母质(土壤母质或成土母质)parent material 土壤剖面soil profile腐殖质化humification淋溶作用leaching土壤改良soil improvement土壤粒级soil separate土壤质地soil texture缓冲作用buffering/buffer action缓冲剂buffering agent/buffer缓冲容量buffer capacity盐基饱和度base saturation percentage灌溉irrigation富里酸fuvic acid胡敏素humin土壤团聚体soil aggregate土壤退化(土壤贫瘠化)soil degeneration土壤地带性soil zonality污水灌溉wastewater irrigation臭氧层ozone layer降水precipitation降水量rainfall降水强度precipitation intensity大气环境容量atmospheric environmental capacity事后评价afterwards assessment烟尘消除elimination of smoke and dust温室效应greenhouse effect大气扩散atmospheric diffusion烟羽(烟流或羽流)plume逆温inversion2环境生物学生境habitat耐受极限limits of tolerance最小因子定律law of minimum生物检测bioassay环境胁迫environmental stress生物多样性bio—diversity生态位niche生命周期life cycle生态型ecotype自养生物autotrophy异养生物heterotroph指数增长exponential growth互利共生mutualism偏利共生commensalisms寄生parasitism衍生物derivative杀虫剂insecticide杀菌剂fungicide除草剂herbicide杀鼠剂rodenticide防腐剂preservative无残留农药non—persistent pesticide植物性农药phytopesticide污水灌溉sewage irrigation世界自然历史遗产保护地world natural and historical heritage site储量stock过度捕获over—hunting;over—fishing猎(渔)期open season农业残渣agricultural dregs赤潮red tide藻花algae bloom/水花water bloom原生污染物primary pollutant次生污染物secondary pollutant急性毒性实验acute toxicity test 慢性毒性实验chronic toxicity test预备实验screening test;range-finding test;preliminary test稀释dilution归宿fate生物积累bioaccumulation生物浓缩bioconcentration生物放大biomagnification生物降解biological degradation;biodegradation生物营养物质biotic nutrient多污生物带polysaprobic zone中污生物带mesosaprobic zone寡污生物带oligosaprobic zone敏感种sensitive species; intolerant organism 耐污种tolerant species生物滤池biological filter净化塘/氧化塘/生物塘purification pond生物膜biomembrane; biological film轮作crop rotation间作intercropping套种interplanting基塘模式farm land and fish pond model防护林带shelter belt沼气marsh gas农家肥farm manure堆肥piled manure城市热岛效应urban heat island effect城市生态规划urban ecological planning环境激素endocrine disrupting chemicals;endocrine disruptors边缘效应edge effect生态恢复ecological restoration恢复生态学restoration ecological环境化学甲基汞methyl mercury镉米cadmium rice农药残留pesticide residue有机氯农药organochlorine pesticide有机磷农药organophosphorous pesticide 氨基甲酸酯杀虫剂carbamate insecticide 拟除虫菊酯杀虫剂pyrethroid insecticide植物生长调节剂growth regulator化学致癌物chemical carcinogen表面活性剂surfactant多氯联苯类polychlorinated biphenyls;PCBs 多环芳烃类polyaromtic hydrocarbon;PAH 催化(催化作用)catalysis臭氧化ozonization3光化学氧化剂photochemical oxidant过氧乙酰硝酸酯peroxyacetyl nitrate;PAN 干沉降dry deposition湿沉降wet deposition光化学烟雾photochemical smog大气光化学atmospheric photochemistry降水化学precipitation chemistry气溶胶化学aerosol chemistry悬浮颗粒物suspended particulate总悬浮颗粒物total suspended particulates (TSP)飘尘(可吸入颗粒物或可吸入尘)airborne particle降尘(落尘)dustfall;falling dust气溶胶aerosol水质water quality盐度salinity氧化还原电位oxidation-reduction potential;redox potential溶解氧dissolved oxygen化学需氧量chemical oxygen demand生化需氧量biochemical oxygen demand总有机碳total organic carbon溶解度solubility聚集aggregation絮凝flocculation凝聚coagulation离子交换ion exchange萃取extraction缓冲溶液buffer solution氧平衡模式(氧垂曲线)oxygen balance model 吸收剂(吸附剂)absorbent活性炭active carbon氧化剂oxidant还原剂reductant胶团micelle胶体溶液colloidal solution脱硫剂desulfurization agent电渗析electrodialysis萃取剂extracting agent过滤filter絮凝剂flocculant;flocculating agent无机絮凝剂inorganic flocculant有机高分子絮凝剂organic polymer flocculant 中和法neutralization反渗透膜reverse osmosis membrane硅胶silica gel蒸汽蒸馏steam distillation超滤膜ultrafilter membrane灵敏度sensitivity准确度accuracy精密度precision可靠性reliability检测限detection limit相对误差relative error绝对误差absolute error偶然误差accidental error平均偏差mean deviation采样误差sampling error标准溶液standard solution标准物质standard substance允许误差allowable error允许浓度allowable concentration微量分析microanalysis痕量分析trace analysis现场分析in—situ analysis仪器分析instrumental analysis水质分析water quality analysis比色分析colorimetric analysis沉降分析sedimentation analysis自动分析automatic analysis原子吸收分光光度法atomic absorption spectrophotometry原子吸收分光光度计atomic absorption spectrophotometer原子荧光光谱法atomic fluorescence spectrometry原子荧光光谱仪atomic fluorescence spectrometer电化学分析法electrochemical method高效液相色谱法high performance liquid chromatography高效液相色谱仪high performance liquid chromatograph气相色谱分析gas chromatography气相色谱仪gas chromatograph采样器sampler大气采样器air sampler底泥采样器sediment samplerpH计pH meter湿度计hygrometer固定大气污染源stationary sources of air4pollution移动大气污染源mobile sources of air pollution固定式水污染源stationary sources of water pollution移动式水污染源mobile sources of water pollution污染负荷pollution load污染源调查survey of pollution sources无污染工艺pollution-free technology无污染装置pollution-free installation污染物总量控制total amount control of pollution水质参数water quality parameter水温water temperature色度color index透明度transparency混浊度turbidity硬度hardness感官污染指标sensuous pollution index毒理学污染指标physical pollution index化学污染指标chemical pollution index细菌学污染指标bacteriological pollution index毒理学污染指标toxicological pollution index 城市污水municipal sewage生活污水domestic sewage工业废水industrial wastewater常规分析指标index of routine analysis环境监测environmental monitoring过程监测course monitoring污染物排放标准pollution discharge standard 总量排放标准total amount of pollution discharge standard优先监测priority monitoring环境优先污染物environmental priority pollutant总固体total solids可吸入微粒(可吸入尘和飘尘)inhale particles 浊度计turbidimeter实验室质量控制laboratory quality control空白实验值blank value平行样duplicate samples再现性(重现性)reproducibility重复性repeatability回收率recovery rate检出限detection limit冷原子吸收法cold—vaporatomic absorption method紫外吸收光谱法ultraviolet absorption spectrophotometry重量分析gravimetric analysis内标法internal marker method定性分析qualitative analysis定量分析quantitive analysis试样前处理pre-treatment均值mean value标准差standarderror方差variation回归分析regression analysis相关分析correlation analysis相关系数correlation coefficient系统误差systematic error随机误差random error有效数字valid figure农药残留分析pesticide residue analysis排污收费effluent charge室内空气污染indoor air pollution水体自净self-purification of water body水土保持soil and water conservation水土流失soil erosion土壤修复soil—remediation生物修复bioremediation光降解photodegradation温室气体greenhouse gases总量收费total quantity charge超临界流体supercritical fluid土壤采样soil pollution环境物理学光辐射(光)visible radiation 红外线infrared ray紫外线ultraviolet ray灭菌灯bactericidal lamp光污染light pollution噪声污染noise pollution混响reverberation听力损失hearing loss绝对湿度absolute humidity 相对湿度relative humidity5饱和度saturation ratio冷凝condensation露点温度dew point temperature 热辐射thermal radiation比热specific heat空气调节air conditioning通风ventilation环境工程学环境污染综合防治integrated prevention and control of pollution环境功能区划environmental function zoning 稀释比dilution ratio迁移transfer紊流扩散turbulent diffusion氧亏(亏氧量)oxygen deficit复氧reaeration溶解氧下垂曲线dissolved—oxygen sag curve 饱和溶解氧saturated dissolved无污染燃料pollution—free fuel燃烧combustion空气-燃料比air—to—fuel ratio烟气分析analysis of flue gas煤的综合利用comprehensive utilization of coal 脱硫desulfurization除尘效率particle collection efficiency分割粒径cut diameter for particles压力损失(压力降)pressure drop机械除尘器mechanical collector重力沉降室gravity settling chamber惯性除尘器inertial dust separator旋风除尘器cyclone collector回流式旋风除尘器reverse—flow cyclone collector直流旋风除尘器straight-through cyclone collector多管旋风除尘器multiple cyclone collector过滤除尘器filter袋式除尘器bag house滤料filtration media气布比air—to—cloth ratio机械振动清灰袋式除尘器bag house with shake cleaning逆气流清灰袋式除尘器bag house with reverse—flow cleaning脉冲喷吹清灰袋式除尘器bag house with pulse—jet cleaning静电除尘electrostatic precipitator (ESP) 电晕放电corona discharge驱进速度drift velocity集尘极collecting electrode板间距distance between collecting electrodes 电极清灰removal of collected particle from electrodes宽间距静电除尘器wide space electrostatic precipitator高压脉冲静电除尘器pulse charging electrostatic precipitator湿式静电除尘器wet electrostatic precipitator 双区静电除尘器(两段式电除尘器)two—stage electrostatic precipitator湿式除尘器wet collector of particulates重力喷雾洗涤器gravitational spray scrubber 旋风洗涤器centrifugal scrubber中心喷雾旋风洗涤器]cyclone spray scrubber 泡沫洗涤塔foam tower scrubber填料床洗涤器packed bed scrubber文丘里洗涤器venturi scrubber双膜理论two—film theory气膜控制gas film control液膜控制liquid film control穿透曲线break through curve催化剂catalyst催化剂中毒poisoning of catalyst烟气脱硫flue gas desulfurization (FGD)湿法脱硫wet process of FGD石灰-石灰石法脱硫desulfurization by lime and limestone氨吸收法脱硫ammonia process of FGD干法脱硫dry process FGD吸收法控制氮氧化物control of NO x by absorption水吸收法脱氮control of NO x by absorption process with water酸吸收法脱氮control of NO x by absorption process with acid碱吸收法脱氮control of NO x by absorption process with alkali6吸附法控制氮氧化物control of NO x by adsorption分子筛吸附法脱氮control of NO x by adsorption process with molecular sieve硅胶吸附法脱氮control of NO x by adsorption process with silica gel气体生物净化biotreatment of gaseous pollutant生物过滤器biofilter汽车尾气污染pollution of automobile exhaust gal生物脱臭biotreatment of odor集气罩capture hood烟囱有效排放高度effective height of emission 清洁生产cleaner production矿山废水mining drainage电镀废水electroplating wastewater给水处理厂water treatment plant污水处理厂wastewater treatment给水(污水)处理构筑物water (sewage)treatment structure污水集水井swage joining well废水调节池wastewater flow equalization basin格栅grill筛网grid screen沉砂池grit settling tank曝气沉砂池aeration grit settling tank平流式沉砂池horizontal grit settling tank立式圆形沉砂池vertical circular grit settling tank圆形周边运动沉砂池circular perimeter flow grit settling tank重力排砂grit discharge by gravity水力提升排砂grit discharge with hydraulic elevator水力旋流器hydraulic cyclone沉淀池settling tank重力沉淀池gravity settling tank 浓缩式沉淀池thickening settling tank斜板(斜管)沉淀池sloping plank(pipe)settling tank辐流式沉淀池radial settling tank平流式沉淀池horizontal settling tank竖流式沉淀池vertical settling tank悬浮污泥澄清池suspended sludge clarifier 脉冲澄清池pulse clarifier水力循环澄清池hydraulic circulating clarifier竖流折板絮凝池vertical table flap flocculating tank机械搅拌絮凝池mechanical mixing flocculating tank 颗粒自由沉降particle free sediment 絮凝沉降flocculation sedimentation 拥挤沉降hinderedsedimentation气浮池floatation basin加压溶气气浮法pressure dissolved-airfloatation微电解法micro electroanalysis过滤池filter重力过滤法gravity filtration process 压力过滤法pressure filtration process 真空过滤法vacuum filtration process 快滤池rapid filtration慢滤池slow filtration接触滤池contact filter双向滤池bidirectional filter双层滤料滤池double layer filter无阀滤池non-valve filter虹吸滤池siphonfilter压力滤池pressure filterV型滤池aquazur V-filter砂滤sand filtration微滤机microstrainer滤池冲洗强度backwashing intensity of filter 滤层filter material layer滤料承托层holding layer for filter material 斜板隔油沉淀池oil trap with slope plank冷却塔cooling tower湿式氧化法wet oxidation process反应池reaction basin叶轮搅拌器turbine mixer膜分离法membrane separation method半渗透膜semi-permeable membrane电渗析electrodialysis反渗透reverse osmosis离子交换膜ion exchange membrane萃取extraction汽提stripping7吹脱法blow-off method臭氧氧化法ozonation臭氧发生器ozonator磁分离法magnetic isolation method光催化氧化optical catalysis oxidation软化水处理softening water treatment石灰-纯碱软化法lime-sodium carbonate softening method废水好氧/厌氧处理biological aerobic/anaerobic treatment of wastewater微生物内源代谢microorganism intrinsic metabolism微生物合成代谢microorganism synthetic metabolism基质分解代谢substrate degradation metabolism活性污泥法activated sludge process回流污泥return sludge剩余污泥surplus sludge初次沉淀池primary sedimentation basin 曝气池aeration推流式曝气池plug-flow aeration basin完全混合曝气池completely mixed aeration basin二次沉淀池secondary sedimentation basin污泥沉降比sludge settling ratio污泥容积指数sludge velum index污泥负荷volume loading 普通活性污泥法conventional activated sludge process分段曝气法step aeration method延时曝气法extended aeration method加速曝气法accelerant aeration method深井曝气法deep well aeration method纯氧曝气法oxygen aeration method鼓风曝气装置blast aerator 扩散曝气设备diffusion aerator射流曝气设备efflux aerator机械曝气装置mechanical aerator表面曝气装置surface aerator曝气时间aeration time污泥龄sludge age活性污泥培养activated sludge culture活性污泥驯化domestication of activated sludge粉末炭活性炭法powdered carbon activated sludge process污泥膨胀sludge bulking生物滤池biological filter高负荷生物滤池high-loading biological filter 水力负荷hydraulic loading有机负荷organic loading塔式生物滤池tower biological filer生物转盘biological rotating disc生物流化床biological fluidized bed活性生物滤池activated biofilter化粪池septic tank污水硝化脱氮处理nitrogen removal from wastewater by nitrification污水反硝化脱氮处理nitrogen removal from wastewater by denitrification污水硝化-反硝化脱氮处理nitrogen removal from wastewater by nitridenitrification土地处理系统land treatment system氧化塘oxidation pond好氧塘aerobic pond兼性塘facultative pond厌氧塘anaerobic pond曝气氧化塘aerated oxidation pondICEAS intermittent cyclic extended aeration system间歇循环延时曝气活性污泥法DAT—IAT工艺demand aeration tankintermittent aeration tank system(需氧池-间歇池)A1/O工艺anoxic/ oxicA2/O工艺anaerobic oxicPhostrip工艺phostriop processBardenpho工艺Bardenpho processPhoredox工艺Phoredox processUCT工艺university of capetownVIP工艺Virginia initiative plant厌氧生物滤池(AF)anaerobic filter厌氧接触法anaerobic contactprocess厌氧生物转盘anaerobic biological rotating disc两相厌氧消化two-phase anaerobic digest序批式间歇反应器series batch reactor氧化沟oxidation ditch上流式厌氧污泥床upflow anaerobic sludge blanketMSBR modified sequencing batch reactor消毒disinfection8灭菌sterilization加氯机chlorinator氯化消毒chlorization disinfection漂白粉消毒disinfection by bleaching powder 紫外线消毒disinfection with ultraviolet rays 加氯消毒disinfection by chlorine液氯liquified chlorine gas需氯量chlorine demand余氯chlorine residual游离性余氯free chlorine residual化合性余氯combined chlorine residual折点加氯chlorination breakpoint过氧化氢消毒disinfection by hydrogen peroxide除味taste removal除臭odor removal脱色decoloration生污泥undigested sludge熟污泥digested sludge污泥处置disposal of sludge污泥综合利用comprehensive utilization of sludge真空过滤法vacuum flotation process污泥浓缩sludge thickening污泥消化sludge digestion污泥脱水sludge dewatering污泥干化sludge drying污泥焚烧sludge incineration真空过滤机脱水dewatering by vacuum filter 板框压滤机脱水dewatering by plate frame press filter辊轧式脱水机脱水dewatering by roll press 带式压滤机脱水dewatering by belt press filter离心式脱水机脱水dewatering by centrifuge 中温消化处理middle temperature digestive treatment高温消化处理high temperature digestive treatment污泥堆肥发酵处理sludge composting and fermentation污泥浓缩池sludge thickener 污泥消化池sludge digestion tank污泥产气率gas production rate of sludge污泥干化场sludge drying bed固体废物solid wastes城市生活垃圾municipal solid wastes城市生活垃圾堆放处置法dumping of municipal solid wastes城市生活垃圾卫生填埋法sanitary landfilling of municipal solid wastes城市生活垃圾焚烧法incineration of municipal solid wastes城市生活垃圾分类sorting of municipal solid wastes城市生活垃圾收集collection of municipal solid wastes垃圾收费refuse taxing废电池used battery有毒有害工业固体废物toxic industrial wastes医疗废物health care wastes堆肥composting填埋场landfill渗滤液leachate treatment焚烧炉incineration furnaces助燃空气系统air injection system余热利用heat utilization焚烧灰渣ash水泥固化技术cement solidification石灰固化lime solidification沥青固化技术asphalt solidification固体废物预处理preliminary treatment of solid wastes破碎crushing of solid wastes筛分screening of solid wastes风力分选wind separation放射性固体废物radioactive solid waste声级计sound level meter消声室anechoic room; anechoic chamber; dead room混响室reverberation room隔声sound insulation吸声muffler环境医学环境卫生学environmental hygiene 环境毒理学environmental toxicology口蹄疫foot—and—mouth disease 流行病学epidemiology9地方病endemic disease氟斑牙dental fluorosis职业病occupational disease 慢性毒性chronic toxicity 急性毒性acute toxicity致癌物carcinogen变异variation病原体pathogen抗体antibody抗原antigen突变mutation病毒virus蓄积器官storage organ致突变作用mutagenesis致畸作用teratogenesis致癌作用carcinogensis摄入量intake dose吸收量absorbed dose卫生标准health standard最高容许浓度maximum permissibleconcentration致死量lethal dose半致死浓度median lethal concentration(LD50)剂量-反应关系dose-response relationship恶臭offensive odor协同作用synergism拮抗作用antagonism因果关系cause—effect relationship相关关系correlation阈限值threshold limit value(TLV)高危人群population at high risk易感人群susceptible population环境管理学环境管理学environmental management science环境伦理学environmental ethics环境质量管理management of environmental quality环境适宜度environmental suitability环境区划environmental zoning环境预测environmental forecasting环境质量评价environmental quality evaluation环境影响评价environmental impact assessment环境规划environmental planning环境决策分析environmental decision analysis 总量控制total discharge control of pollutant 浓度控制concentration control排污收费effluent charge排污申报登记declaration and registration of pollutant discharge排污许可证permit for pollutant discharge生物安全biosafety环境监察environmental supervision and management环境宣传教育environmental propaganda and education环境意识environmental consciousness环境质量报告书report on environmentalquality环境影响评价报告书report on environmental impact assessment公众意见听证会public hearing循环经济cyclic economy预防为主、防治结合、综合治理原则principle of giving priority to pollution prevention,combining prevention and control,and integrated control全面现划、合理布局原则principle of overall planning and rational layout谁污染谁治理polluter—treats综合利用、化害为利原则principle of comprehensive utilization and turning harm into good谁开发谁保护explorer—protects协调发展原则principle of coordinated development国家环境保护模范城市national environmental protection model city全国生态示范区national ecological demonstration area环境信息environmental information环境管理信息系统information system for environmental management环境专家系统environmental expert system环境监测environment monitoring10环境标志environmental label 清洁生产cleaner production环境审计environmental audit产品生命周期life cycle of product 环境法学环境法学science of environmental law环境保护法environmental protection law公害法public nuisance law环境行政法规administrative regulations of environment环境部门规章departmental rules of environment污染物排放标准pollutant discharge standard “三同时”制度three simultaneity system排污审报登记制度declaration and registration system of pollution discharge排污许可证制度permit system of pollutant discharge排污收费制度system of effluent限期治理制度system of eliminating and controlling environmental pollution within a prescribed time现场检查制度system of on-site inspection环境污染事故报告制度system of environmental pollution accident reporting 《中华人民共和国环境保护法》Environmental Protection Law of the People's Republic of China《中华人民共和国水污染防治法》law of the People’s Republic of China on prevention and control of water pollution《中华人民共和国大气污染防治法》law of the People’s Republic of China on prevention and control of atmospheric pollution《中华人民共和国环境噪声污染防治法》law of the People’s Republic of China on prevention and control of pollution from environmental noise《中华人民共和国固体废物污染环境法》law of the People’s Republic of China on prevention and control of environmental pollution by solid waste《中华人民共和国海洋环境保护法》marine environment protection law of the People’s Republic of China《全国生态环境建设规划》national eco-environmental construction plan《全国生态环境保护纲要》national compendium on eco-environmental protection 地表水环境质量标准environmental quality standard for surface water地下水质量标准quality standard for ground water农业灌溉水质标准standard for irrigation water quality污水综合排放标准integrated wastewater discharge standard大气污染物综合排放标准integrated emission standard of air pollutants环境经济学循环经济模式circular economy type牧童经济the shepherd economy3R原则the rules of 3R(reducing, reusing, recycling)生态经济学eco-economics共有资源common resources外部经济性external economics外部不经济性external diseconomics外部成本external cost边际效用marginal utility边际收益marginal benefit粗放经营extensive management集约经营intensive management自然资本natural capital公平equity代际补偿compensation between generations绿色国民帐户green national account可持续发展sustainable development公共物品public goods环境保护贸易政策trade policy for environmental protection绿色壁垒green tariff barrier国民生产总值gross national production (GNP)国民生产净值net national production(NNP)国民收入national income11环境污染弹性系数environmental pollution elasticity回收率reuse rate物质平衡material balance物料衡算material balance counting影子价格shadow price现行价格present price贴现discount机会成本opportunity cost运行费用operation cost城市气化率urban population ratio of used gas 城市绿化覆盖率urban green cover ratio环境效益environmental benefit成本效益分析cost and benefit analysis环境费用environmental cost排污权交易marketable pollution permits生态足迹the ecological footprint环境税environmental tax资源资产assets of resource资源产权property right of resource最低安全标准minimum standard of security 代际公平equality between generation末端控制terminal control公地的悲剧tragedy of the public pasture 中间产品intermediate product最终产品final product直接污染物产生/排放系数direct pollutant generation/discharge coefficient累积污染物产生/排放系数cumulate pollutant generation/discharge coefficient排污收费charge from discharge pollutant污染者负担原则polluter pay principle资源税resource tax人口出生率population birth rate人口死亡率population mortality rate人口自然增长率population nature growth rate人口计划生育率population planning fertility rate平均寿命average life人口年龄金字塔population age pyramid人口老化population aging人口过剩over—population人口爆炸population explosion计划生育family planning人口统计population statistics人口普查population census环境教育环境教育目标objectives of environmental education多学科环境教育课程模式multi—disciplinary model of environmental education 跨学科环境教育模式inter—disciplinary model of environmental education中学环境教育大纲environmental education standard for secondary school环境教育活动的设计design of environmental education activity野外环境教育基地environmental education field base公众参与public participation环境意识environmental awareness中国中小学绿色教育行动environmental educators initiative of china12。
一种结合小世界模型改良的NMF社区发现算法赵雨露;张曦煌【摘要】社区发现是当前复杂网络与数据挖掘的热点,非负矩阵分解是社区发现的常用手段.针对当前非负矩阵分解的社区发现算法,为提高算法的准确率与可解释性,提出多阶邻居节点的概念,在小世界模型的基础上构建了规模可控的多阶复合信息矩阵,用后处理的方法减少了算法中随机因素带来的不稳定性.对于真实网络与人工网络的实验证明,新背景下的算法较原算法在性能上有一定的提升.%Community detection is the hotspot of current complex networks and data mining,whose common means is non-negative matrix factorization.To improve the accuracy and interpretability of community detection algorithm,we propose the concept of first-order neighbors.On the basis of the small-world model,this paper constructed a controllable scale multi-stage compound information matrix.Treatment reduced the algorithm after using random factors of instability.Regarding experimental proof of the real network and artificial networks,new algorithms increase in performance compared to the original algorithm.【期刊名称】《计算机应用与软件》【年(卷),期】2017(034)010【总页数】6页(P269-274)【关键词】社区发现;非负矩阵分解;小世界模型;复杂网络【作者】赵雨露;张曦煌【作者单位】江南大学物联网工程学院江苏无锡214122;江南大学物联网工程学院江苏无锡214122【正文语种】中文【中图分类】TP301.6现实世界中存在大量可以抽象为复杂网络的关系形式,例如人际网络、通信网络和软件中API的调用等。
保持良好人际关系的方法和好处英语作文Maintaining positive relationships with others is essential for a happy and fulfilling life. It involves regular communication, mutual respect, and a willingness to listen and understand each other. Building and nurturing healthy relationships not only enhance our personal well-being but also contribute to creating a harmonious environment in both our professional and social lives.One of the most important methods in maintaining good interpersonal relationships is effective communication. Communication is not just about speaking; it also involves active listening and understanding. Being able to express thoughts and feelings clearly, while also being attentive to the perspectives of others, can prevent misunderstandings and conflicts from arising. Regular and open communication helps build trust and deepen connections with friends, family, colleagues, or partners.Another vital aspect of maintaining positive relationships is showing respect for others. Respecting someone meansvaluing their opinions, feelings, and boundaries. Respecting differences in beliefs, cultures, or personalities can foster tolerance and acceptance within relationships. By demonstrating respect towards others, we create an atmosphere of dignity and mutual appreciationthat strengthens the bonds between individuals.Furthermore, empathy plays a crucial role in building strong interpersonal connections. Empathy involves understanding others' emotions and perspectives without judgment. When we empathize with someone, we demonstrate compassion and support in times of joy or distress. Empathy promotes emotional closeness and fosters a sense of unity among people.In addition to effective communication, respect, and empathy, reciprocity is key to maintaining positive relationships. Reciprocity means giving back as much as we receive from others in terms of care, attention, and support. When both parties contribute equally to the relationship by showing kindness and consideration towards each other's needs, it creates a balanced dynamic thatsustains the bond over time.The benefits of maintaining good interpersonalrelationships are numerous. Firstly, having a reliable support system built on trust and understanding can provide emotional security during challenging times. Friends or family members who offer encouragement and comfort can help us navigate difficulties more effectively.Secondly, positive relationships contribute to our overall well-being by promoting happiness and reducing stress levels. Spending time with loved ones or engaging in meaningful conversations can boost our mood and enhance our mental health.Moreover, strong interpersonal connections often lead to increased opportunities for personal growth and development. Through interactions with diverse individuals who bring different perspectives and experiences into our lives, we can broaden our horizons and learn new skills or knowledge.Ultimately, investing time and effort in maintaining goodinterpersonal relationships is an invaluable asset that enriches our lives on various levels. 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Fig. 1—Single line build consisting of 18 layers of Ti-6Al-4V laser deposited onto a substrate of the same material. Laser motion is in the ϩx direction and layers are added in the ϩz direction.Table II.Summary of As-Deposited MeasurementsAverage ϮFig. 2—As-received profile of a Ti-6Al-4V laser deposit showing the colum-nar prior beta grains and layer band morphology.Fig. 3—Nominal microstructure of the laser deposit consisting of bas-ketweave Widmanstätten ␣grains outlined in retained .Fig. 4—Layer band morphology consisting of colonies of Widmanstätten ␣grains outlined in retained .four layers that have been deposited indicates that the micro-structure changes from a fine basketweave morphology (L16) to a fine colony alpha structure (L18). The alpha-lath width in the fine colonies was less than 1tative micrographs from L16 through L18 can be observed Vickers hardness measurements were employed to determine if the layer-band microstructure results in a difference in mechanical properties. The results are shown II for macro and microhardness measurementsFig. 5—Macrograph of the last five layers to be deposited illustrating thelack of layer bands in the last three layers deposited. The morphology forregions exhibiting microstructural contrast is labeled.(a)(b)(c)Fig. 6—Micrographs from the last three layers to be deposited. Regions from the middle of (a) L16 (nϩ1) showing fine basketweave and fine colony Widmanstätten alpha, (b) L17 (nϩ2) showing fine colonies of alpha with some areas of fine basketweave Widmanstätten alpha, and (c) L18 (nϩexhibiting predominantly fine colonies of alpha.(a)(b)Fig. 7—(a) Composition profile for the 8.1-mm-long traverse that crosses three layer bands. The positions of the layer bands, indicated by the dashed lines, are approximate. (b) Composition profile of the central 9.9-mm-long traverse measured from L16 and L17 that does not cross any layer band. The average composition in weight percent is (a) 90.54Ti, 5.58Al, and 2.83V and (b) 88.47Ti, 5.77Al, and 2.28V.IV.DISCUSSIONIt was observed that the prior-beta grains in the deposit are columnar in nature, oriented nearly perpendicular to the sub-strate in the y-z plane, and slightly tilted in the direction of laser motion in the x-z plane. The prior-beta grains also grow across multiple deposited layers. Initial solidification of the columnar grains occurs epitaxially from the grains in the base metal, or previously deposited layers, due to similarities in the composition and surface energies of the metal. This allows for the columnar grains to continue growing across multiple layers. The aligned orientation of the prior-beta grains isFig. 8—Schematic evolution of different microstructure morphologies in the observed Ti-6Al-4V deposit. The positions of the maximum depth of melting and beta heating are approximate. Arrows are added to these lines to indicate the position is below layer n.。
社区发现(Community Detection)算法社区发现(Community Detection)算法用来发现网络中的社区结构,也可以视为一种广义的聚类算法。
以下是我的一个PPT 报告,分享给大家。
从上述定义可以看出:社区是一个比较含糊的概念,只给出了一个定性的刻画。
另外需要注意的是,社区是一个子图,包含顶点和边。
下面我们以新浪微博用户对应的网络图为例,来介绍相应的社区发现算法。
这里在相互关注的用户之间建立连接关系,主要是为了简化模型,此时对应的图为无向图。
当然,我们也可以采用单向关注来建边,此时将对应有向图。
这个定义看起来很拗口,但通过层层推导,可以得到如下(4.2)的数学表达式。
定义中的随机网络也称为Null Model,其构造方法为:the null model used has so far been a random graph with the same number of nodes, the same number of edges and the same degree distribution as in the original graph, but with links among nodes randomly placed.注意,(4.2) 是针对无向图的,因此这里的m 表示无向边的条数,即若节点i 和节点j 有边相连,则节点(i, j) 对m 只贡献一条边。
标签传播算法(LPA)的做法比较简单:第一步: 为所有节点指定一个唯一的标签;第二步: 逐轮刷新所有节点的标签,直到达到收敛要求为止。
对于每一轮刷新,节点标签刷新的规则如下:对于某一个节点,考察其所有邻居节点的标签,并进行统计,将出现个数最多的那个标签赋给当前节点。
当个数最多的标签不唯一时,随机选一个。
注:算法中的记号N_n^k 表示节点n 的邻居中标签为k 的所有节点构成的集合。
SLPA 中引入了Listener和Speaker两个比较形象的概念,你可以这么来理解:在刷新节点标签的过程中,任意选取一个节点作为listener,则其所有邻居节点就是它的speaker 了,speaker 通常不止一个,一大群speaker 在七嘴八舌时,listener 到底该听谁的呢?这时我们就需要制定一个规则。
Community Evolution Detection in Time-Evolving Information NetworksAlfredo CuzzocreaICAR-CNR and University of CalabriaCosenza,Italy cuzzocrea@si.deis.unical.it Francesco Folino ICAR-CNRCosenza,Italy ffolino@r.itABSTRACTIn this paper,we propose a framework for representing,modeling and mining time-evolving information networks.Our framework introduces a graph-based model-theoretic approach to represent such networks and how they change over time.Also,we provide a method for supporting matching-based community evolution detec-tion in time-evolving information networks,by identifying several classes of community transitions,along with algorithms that imple-ment them.Categories and Subject DescriptorsH.3.4[Information Storage and Retrieval]:Systems and Software–Information networksGeneral TermsModels,AlgorithmsKeywordsinformation networks,community detection,community evolution 1.INTRODUCTIONRecently,a great deal of interest for information networks(e.g., [9,10,12])appeared,mainly driven from the widespread number of research problems,such as representing,modeling and mining large-scale information networks,and practical applications,such as social networks and social media tools.This has originated a young yet rich literature on this topic.Despite the great interest,few proposal have investigated the rel-evant problem of representing,modeling and mining time-evolving information networks,which,basically,are information networks that may change structural as well as semantic configuration(e.g., topology)over time.This captures a large family of applications, among which we recall time-evolving large-scale bibliographic repositories(think of the simplest case of DBLP,for instance). Here,classical approaches devised for static networks are not suitable to deal with innovative challenges posed by this novel Copyright is held by the author/owner(s).EDBT/ICDT’13,March18-22,Genoa,Italy.Copyright2013ACM978-1-4503-1599-9/13/03...$10.00.class of networks.For instance,representing time and how timeevolves generating sequence of information networks remains acritical problem.Besides representation and modeling issues,detecting commu-nity evolution in time-evolving information networks is afirst-class challenge in this research context.Following this main consider-ation,in this paper we provide the following two contributions.First,we propose a model-theoretic approach,which is,essen-tially,graph-based,to represent time-evolving information net-works.Second,we provide a framework for supporting matching-based community evolution detection in such networks,which founds on the model-theoretic approach above.In this framework,we connote an evolution of a given community in the target in-formation network in terms of the so-called community transition,which is an essential component of our research.Noticeable,weidentify several classes of community transitions that capture pos-sible evolutions that may occur in a time-evolving information net-work,and also provide related algorithms.The remaining part of this paper is organized as follows.In Sec-tion2,we provide the formal definition of the problem we inves-tigate in our research,along with the notation used throughout thepaper.Section3provides a brief overview on related work.In Sec-tion4,we provide our theoretical models for supporting matching-based community evolution detection in time-evolving networks.Section5provides the classes of community transitions we iden-tify in our research,along with algorithms that implement them.Finally,in Section6we derive conclusions and outline future workof our research.2.PROBLEM DEFINITIONLet{1,...,T}be afinite set of time steps and V={1,...,n}be a set of individuals or objects.A static network G t at time t can be modeled as a graph G t=(V t,E t),wherein:(i)V t is a set of objects,called nodes or ver-tices;(ii)E t is a set of links,called edges,that connect two ele-ments of V t at time t.Thus,G t is the graph representing a snap-shot of a static network at time t.V t⊆V is a subset of individuals of V observed at time t.An edge(u t,v t)is in E t if individuals uand v have interacted at time t.For all v∈V and t∈{1,...,T},(v t,v t+1)∈E are directed self edges of individuals across time steps.A community(also called cluster or module)in a static networkG t is a group of vertices V t i⊆V t having a high density of edges inside the group,and a lower density of edges with the remaining nodes V t−V t i.Let g t denote the sub-graph representing a com-munity at time t.A clustering C t ={g t 1,...g tk }of a network G t at time t is a partitioning of G t ,meaning that,for each couple of communities g t i ∈C t and g t j ∈C t ,V t i ∩V t j =∅.A dynamic network is a sequence G ={G 1,...,G T }of static networks,where each G t is a snapshot of individuals and connec-tions among these individuals at time t .A dynamic network G is represented by the graph G =(V ,E )of the time series of graphs G t such that V =∪t V t and E =∪t E t ∪∪t −1(v t ,v t +1)[2]In this paper,we investigate the following two research prob-lems:•tracking how communities evolve over time ;•given an objective measure,discovering sensible changes in the community structure of the whole graph .3.RELATED WORKCommunity evolution has received a great deal of attention from the research community recently.Clustering has been widely used as a powerful Data Mining tool for both community detection and evolution over large information networks.Several approaches have been proposed to this end,such as:probabilistic methods [1,3],structure-oriented approaches [6,5],spectral methods [11],specialized approaches for heterogeneous networks [10,9],and so forth.These proposals investigate the problem of detecting evolutions in large information networks (e.g.,social networks [12])and open the door to a wide family of practical applications and systems ranging from inference analysis of large bibliographic networks to risk detection and emergency management.Also,the integration of these techniques with the management of online database systems (e.g.,those populating a Cloud infrastructure )represents a very ap-pealing and challenging research direction to be addressed in future years.4.MATCHING-BASED COMMUNITYEVOLUTION DETECTION IN TIME-EVOLVING INFORMATION NET-WORKSThe first goal of our research is to devise models and algorithms for tracking how communities evolve over time,namely community evolution .In order to fulfill this goal,we need a criterion to decidewhen a community g t +1j at time t +1can be considered as theevolution of the community g ti at time t .The second goal of our research is to devise models and algo-rithms for discovering sensible changes in the community structure of the whole graph,given an objective measure.To this end,a change detection mechanism that allows us to determine meaning-ful change points in time must be introduced.In the following,the concept of graph encoding is introduced,and the similarity be-tween two communities at successive time steps is defined.Given a dynamic network G ={G 1,...,G T },the group graph of G ,denoted by GG =(V G ,E G ),is a directed graph that models how individuals move from one community to another over time.Let us focus on the construction of GG .First,given the number ofcommunities at time t ,denoted by k t ,for each group g ti observed in the dynamic network,with t =1,...,T and 1≤i ≤k t ,avertex in V G exists.Second,given two groups g ti and g t +1j ,anedge between g t i and g t +1j exists if an individual u of g ti at time tappears in g t +1j at time t +1.Also,the edge (g ti ,g t +1j )is labeledwith the set of objects moving from the first group (i.e.,g ti )to thesecond one (i.e.,g t +1j ).The flow of individuals between two consecutive time steps is represented in the so-called confusion matrix M ,having size I ×J ,where rows I =I t 1,...,I tk represent the communities of G t attime t and columns J =J t +11,...,J t +1h the communities of G t +1at time t +1.M (i,j )contains the number of objects from g ti thatappears in g t +1j .The confusion matrix stores important informa-tion useful to track transitions of communities over time.How-ever,it does not provide any insight about the structural changes that may occur in the groups.In fact,members of a group can re-main the same,but their interconnections could be re-arranged in such a way as to disrupt the original organization.It is thus nec-essary to understand when such transformations occur and which kind of modifications a community can incur.Similarly to [7],we define two kinds of transitions that can oc-cur in a community:(i )external transition ,which occurs when the transition regards the relationships with other groups;(ii )inter-nal transition ,which occurs when the transition concerns the struc-ture of the community.In order to detect transitions,we introduce an ad-hoc similarity measure that allows us to establish when two communities are similar.This conveys in the so-called community similarity ,which we define next.First,two other concepts need to be introduced:the overlap (Definition 4.1)and the structural prox-imity (Definition 4.2)of two given communities g t and g t +1at two consecutive time steps t and t +1,respectively.D EFINITION 4.1.Let G t i and G t +1jbe the graphs of the snap-shots of two static networks at times t and t +1,respectively,andg t ∈C ti and g t +1∈C t +1j two communities in the correspondingclusterings C ti and C t +1j ,respectively.The overlapping between g t and g t +1is defined as the percentage of nodes that g t shares with g t +1,as follows:overlap (g t ,gt +1)=|g t ∩g t +1||g t |where |g t |denotes the number of vertices of g t and |g t ∩g t +1|the number of common vertices.The overlap of two communities g t and g t +1takes into account the persistence of vertices from a cluster at time step t to another one at time step t +1only,but it does not provide any knowledge about the structure of the clusters themselves [4].The concept of Normalized Mutual Information (NMI)[8]can provide a valid help in computing the similarity of two communities with respect to the nodes they have in common.D EFINITION 4.2.Given two communities g t and g t +1,we say that g t +1is the structurally nearest community of g t ,denoted as g t +1=sn (g t ),if the following property holds:NMI (g t ,g t +1)=min {NMI (g t ,g )|g ∈C t +1j }where NMI (g t ,g t +1)denotes the NMI computed on the adja-cency matrices of the graphs g t and g t +1.The structural neighborhood is a maximal measure of the struc-tural proximity.Based on Definition 4.1and Definition 4.2we now introduce the similarity measure between two communities g t and g t +1in terms of studying the matching of g t +1over g t .Matching between communities is reported in Definition 4.3.D EFINITION 4.3.Given a threshold τ∈[0,1]and two com-munities g t and g t +1,we say that g t +1matches g t ,denoted by g t +1=match (g t ),if the following properties hold:overlap (g t ,g t +1)=max {overlap (g t ,g )|g ∈C t +1j }≥τand:g t +1=sn (g t ).As it follows from Definition 4.3,a match of a community g t at the successive time step t +1is the cluster g t +1having the maximum number of common nodes and the maximum number of equal links.In such a case,we say that a transition from g t to g t +1occurred.Figure 4shows algorithm match which implements the matching between two communities.Algorithm match (g t :community,C t +1:clustering,τ:real num-ber)1max _overlap :=0;candidate :=g t +11;2for each g t +1i ∈C t +1−{g t +11}do3curr _overlap :=overlap (g t ,g t +1i );4if (curr _overlap >max _overlap )then 5max _overlap :=curr _overlap ;6candidate :=g t +1i ;7end if 8end for9if (max _overlap >τ)then 10return candidate ;11else12return ∅;13end ifendFigure 1:Algorithm match .5.CLASSES OF COMMUNITY TRANSI-TIONSIn this Section,we provide the classes of community transitions that are one of the most important result of our research.As men-tioned in Section 4,according to [7],we provide classes for both external (Section 5.1)and internal (Section 5.2)transitions.5.1External TransitionsFirst,we focus the attention on external transitions [7].Given two communities g t and g t +1,they can,obviously,match.In addi-tion to this,the following evolutions may occur.The community survives :g t →g t +1if g t +1=match (g t )and ∃g t ∈C t −{g t }such that g t +1=match (g t )A community g t survives if it has a match g t +1and this match does not cover any other community of C t .Figure 5.1shows algo-rithm survives which implements the survival of g t into g t +1.The community is absorbed :g t →⊆g t +1if g t +1=match (g t )and ∃g t ∈C t −{g t }such that g t +1=match (g t )If g t +1is the match of at least one other community,then it means that g t has been absorbed by g t +1.Figure 5.1shows algo-rithm absorbed which implements the absorption of g t by g t +1.The community is split into multiple communities :g t →{g t +11...g t +1p }if ∪p i g t +1i=match (g t )Algorithm survives (g t :community,C t :clustering,C t +1:clus-tering,τ:real number)1g t +1:=match (g t ,C t +1,τ);2for each g ti ∈C t −{g t }do3if (g t +1=∅and g t +1=match (g ti ,C t +1,τ))then 4return ∅;5end if 6end for7return g t +1;endFigure 2:Algorithm survives .Algorithm absorbed (g t :community,C t :clustering,C t +1:clus-tering,τ:real number)1g t +1:=match (g t ,C t +1,τ);2for each g ti ∈C t −{g t }do3if (g t +1=∅and g t +1=match (g ti ,C t +1,τ))then 4return g t +1;6end if 7end for 8return ∅;endFigure 3:Algorithm absorbed .If a match for g t does not exist,then g t could have been splitin more than one clusters of C t +1.This implies that the union of such clusters must be a match for g t .Figure 5.1shows algorithm split which implements the split of g t .The community disappears :g t →∅if none of the above cases applies to g tIf none of the previous cases occur,then the community has dis-appeared .Figure 5.1shows algorithm disappears which im-plements the disappearance of g t .A new community appears :∅→g tSimilarly,the dual case of the latter one exists,i.e.the case in which a new community appears .Figure 5.1shows algorithm appears which implements the appearance of g t .As to complement the previous cases of external transitions,there is still another possibility,i.e.a new community emerges .The latter case can occur in two situations.The first one is that new individuals have been introduced in the network.The second one is that the individuals have been reorganized by sensibly changing their interconnections and the new community cannot be the result of external transitions.5.2Internal TransitionsA community survived from one time step t to the following t +1may undergoes internal changes that can be of two types.One re-gards the size ,i.e.the number of vertices involved in the commu-nity,and the other one the link density .The size of a community can augment,in such a case we say that the community expands ,or it can diminish,i.e.the community shrinks .Also,a community becomes denser if the link density augments,and diffuser if it di-Algorithm split(g t:community,C t+1:clustering,τ:real num-ber)1m:=|g t|;n:=0;2C∪:=∅;3for each g t+1i ∈C t+1do4if(|g t∩g t+1i |>0)then5n:=n+1; 6end if7end for8for each g t+1i ∈C t+1do9if(|g t∩g t+1i |>=m/n)then10C∪:=C∪∪{g t+1i };11end if12end for13if(g t=match(g t,C∪,τ))then14return C∪;15else16return∅;17end ifendFigure4:Algorithm split.Algorithm disappears(g t:community,C t:clustering,C t+1: clustering,τ:real number)1if(survives(g t,C t,C t+1,τ)=∅andabsordeb(g t,C t,C t+1,τ)=∅andsplit(g t,C t+1,τ)=∅)then2return true;3end if4return false;endFigure5:Algorithm disappears.Algorithm appears(g t+1:community,C t:clustering,C t+1: clustering,τ:real number)1for each g t i∈C t doif(g t+1=survives(g t i,C t,C t+1,τ)andg t+1=absorbed(g t i,C t,C t+1,τ)andg t+1⊂split(g t i,C t+1,τ)then2return true;3end if4end for5return false;endFigure6:Algorithm appears.minishes.The evolutions of g t can then be recovered by tracking its lifetime,which is provided in Definition5.1.D EFINITION 5.1.Let g t be a community appeared at thefirst time point t.The lifetime of g t is the number of time points in which either g t survived or it has been absorbed.6.CONCLUSIONS AND FUTURE WORK In this paper,we have proposed a framework for representing, modeling and mining time-evolving information networks,which founds on a graph-based model-theoretic approach.In order to support community evolution detection,several classes of so-called community transitions have been identified,along with related al-gorithms.Future work is mainly oriented towards the experimental assess-ment and analysis of our framework,and the development of sev-eral study cases allowing us 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