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social network analysis and network connectedness analysis for industrial symbiotic systems： model development and case study

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Frontiers of Earth Science 2013年第2期7卷 169-181页

作者： Yan ZHANG Hongmei ZHENG Bin CHEN Naijin YANG State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

An important and practical pattern of industrial symbiosis is rapidly developing： eco-industrial parks. In this study, we used social network analysis to study the network connectedness （i.e., the proportion of the theoretical number of connections that had been achieved） and related attributes of these hybrid ecological and industrial symbiotic systems. This approach provided insights into details of the network＇s interior and analyzed the overall degree of connectedness and the relationships among the nodes within the network. We then characterized the structural attributes of the network and subnetwork nodes at two levels （core and periphery）, thereby providing insights into the operational problems within each eco-industrial park. We chose ten typical eco-industrial parks in China and around the world and compared the degree of network connectedness of these systems that resulted from exchanges of products, byproducts, and wastes. By analyzing the density and nodal degree, we determined the relative power and status of the nodes in these networks, as well as other structural attributes such as the core-periphery structure and the degree of sub-network connectedness. The results reveal the operational problems created by the structure of the industrial networks and provide a basis for improving the degree of completeness, thereby increasing their potential for sustainable development and enriching the methods available for the study of industrial symbiosis.

关键词： industrial ecology industrial symbiosis system social network analysis degree of connectedness industrial ecology parks China

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A secure routing scheme based on social network analysis in wireless mesh networks

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Science China Earth Sciences 2016年第12期59卷 139-150页

作者： Yao YU Zhaolong NING Lei GUO College of Information Science and Engineering Northeastern UniversityShenyang 110819China School of Software Dalian University of TechnologyDalian 116620China State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210093China

As an extension of wireless ad hoc and sensor networks, wireless mesh networks(WMNs) are employed as an emerging key solution for wireless broadband connectivity improvement. Due to the lack of physical security guarantees, WMNs are susceptible to various kinds of attack. In this paper, we focus on node social selfish attack, which decreases network performance significantly. Since this type of attack is not obvious to detect, we propose a security routing scheme based on social network and reputation evaluation to solve this attack issue. First, we present a dynamic reputation model to evaluate a node's routing behavior, from which we can identify selfish attacks and selfish nodes. Furthermore, a social characteristic evaluation model is studied to evaluate the social relationship among nodes. Groups are built based on the similarity of node social status and we can get a secure routing based on these social groups of nodes. In addition, in our scheme, nodes are encouraged to enter into multiple groups and friend nodes are recommended to join into groups to reduce the possibility of isolated nodes. Simulation results demonstrate that our scheme is able to reflect node security status, and routings are chosen and adjusted according to security status timely and accurately so that the safety and reliability of routing are improved.

关键词： wireless mesh networks node selfish social network analysis secure routing Markov chain

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Inter-group associations in Mongolian gerbils:Quantitative evidence from social network analysis

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Integrative Zoology 2017年第6期12卷 446-456页

作者： Ke DENG Wei LIU Dehua WANG State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijingChina and University of Chinese Academy of SciencesBeijingChina

Animals often interact non-randomly with conspecifics,and association preferences can differ across life-history stages to maximize individuals’*** gerbils(Meriones unguiculatus)are a social rodent that live in highly seasonal habitats and display seasonal fluctuations in population density,growth rate and the size of overlapped home ***,whether gerbils modify their social relationships at different life-history stages remains ***,we used social network analysis to examine whether social associations differ between the sexes and between life-history stages in a wild population of Mongolian *** quantified social attributes at both group level(assortativity)and individual level(social differentiation and degree,closeness and betweenness centrality);these attributes reflect individuals’social preferences and their potential influence on others in the *** found that both male and female gerbils established fewer inter-group social connections during the food-hoarding season than during the breeding season,revealing constraints on sociali***,during the food-hoarding season,degree centrality and social differentiation increased significantly whereas closeness and betweenness centrality decreased ***,these results suggest that gerbils have relatively more partners and preferred associations and decreased influence over others in the network during the food-hoarding *** addition,we found no significant difference in any of the social attribute between males and females,but there was a significant interaction effect between sex and season on degree,closeness and betweenness *** results demonstrate that Mongolian gerbils adjust their association strategies to adapt to the changes of life *** adjustments may balance the costs/benefits associated with survival and reproduction.

关键词： centrality inter-group associations life history Meriones unguiculatus social network analysis

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A social network analysis on Organizational Innovation and Its Effects: A Case Study on the Practice of Changzhou Municipal Bureau of Urban Planning,Xinbei Branch

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China City Planning Review 2017年第4期26卷 57-64页

作者： Li Dongquan Lan Zhiyong Wei Dengyu Qian Fang Liu Jian Department of Urban Planning and Management School of Public Administration and PolicyRenmin University of China Research Center of Urban-Rural Development Planning and Management Renmin University of China School of Public Management and Policy Tsinghua University Everbright Xinglong Trust Co. Ltd. 不详

Using Xinbei Branch of Changzhou Municipal Bureau of Urban Planning as a case,this study carefully examines how organizations innovate in China's urban planning *** study builds itself upon a network analysis of the data collected through a survey of all the relevant members about their working relationships after their organizational *** shows that,with regional competition for economic development,the local government departments in developed areas tend to actively seek opportunities for organizational innovation in order to ensure planning management effectiveness and promote planning implementation *** reform measures and their effects are carefully examined for identifying lessons and experiences in planning implementation in China.

关键词： social network analysis planning management organizational innovation Xinbei Branch Bureau

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Mathematical Modeling in social network analysis： Using TOPSIS to Find Node Influences in a social network

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Journal of Mathematics and System Science 2013年第10期3卷 531-541页

作者： William P Fox Sean F. Everton Department of Defense analysis Naval Postgraduate School Monterey CA 93943 USA

In a social network analysis the output provided includes many measures and metrics. For each of these measures and metric, the output provides the ability to obtain a rank ordering of the nodes in terms of these measures. We might use this information in decision making concerning disrupting or deceiving a given network. All is fine when all the measures indicate the same node as the key or influential node. What happens when the measures indicate different key nodes？ Our goal in this paper is to explore two methodologies to identify the key players or nodes in a given network. We apply TOPSIS to analyze these outputs to find the most influential nodes as a function of the decision makers＇ inputs as a process to consider both subjective and objectives inputs through pairwise comparison matrices. We illustrate our results using two common networks from the literature： the Kite network and the Information flow network from Knoke and Wood. We discuss some basic sensitivity analysis can may be applied to the methods. We find the use of TOPSIS as a flexible method to weight the criterion based upon the decision makers＇ inputs or the topology of the network.

关键词： social network analysis multi-attribute decision making Analytical hierarchy process (AHP) weighted criterion TOPSIS node influence

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The Case Study of IFLA International Marketing Award based on social network analysis

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校园英语 2017年第23期 245-246页

作者： Wang Zhizhen School of Management in Shandong University Library and Information Science

It is the inevitable choice for new period library to develop *** is particularly important to improve the marketing effort with the successful experience of the IFLA marketing award winning *** article based on the principle of social network,using social network analysis software,IFLA International Marketing Awards winners are classified according to different classification *** quantitative analysis,we discover,domestic libraries need to strengthen the marketing work from the following aspects: increase image marketing, cooperation, focus on special groups.

关键词： IFLA International Marketing Award Library Marketing social network analysis

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Exploring Cyber Opinion Leaders Based on social network analysis: Sampling College Student Employment Public Opinion

Exploring Cyber Opinion Leaders Based on Social Network Anal...

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2011 International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Zhuozhuo Li Zihan Ding School of Society Soochow University LibraryDushu Lake Campus of Soochow UniversitySSIP School of Society Soochow UniversityDushu Lake Campus of Soochow UniversitySSIP

ISBN: (纸本)9781612848334

Combining application research using social network analysis, the opinion leadership could be identified through the analysis of online public opinion structure. The case study of public opinion about college student employment is based on the measurement of the degree centrality, core-periphery and influence coefficient. The online opinion leadership that explored by the combination of social network analysis and content analysis should be the focus of monitoring public opinion.

关键词： social network analysis cyber opinion opinion leader college student employment

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Employees' Information System Usage Behavior Evolution Based on social network analysis Perspective

Employees' Information System Usage Behavior Evolution Based...

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2013教育技术与信息系统国际会议

作者： Min Qin Jingjing Guan Research Center of Management Science & Engineering School of Software Jiangxi Normal University

Prior research has studied individual-level information system post-adoption usage, primarily regarding cognitive factors as predictors of individual usage behavior. We suggest that employees should be embedded in the social network of the organizational unit, and their interactions with coworkers can promote the usage behavior evolution from habitual usage behavior to innovative usage behavior over time. In this paper, we propose a research model of individual IS usage behavior evolution. Then we take the longitudinal period of 3 years and choose two typical periods to collect the valid data. Through both in-depth interviews and social network analysis approach, empirical results show that there is a close relationship between changing social networks and employees’ information system usage behavior evolution. In the Low network density and centrality are positively associated with employees’ habitual usage and high network density and centrality are positively associated with employees’ innovative usage.

关键词： Information Systems Behavior Evolution Habitual Usage Behavior Innovative Usage Behavior social network analysis

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Research Hotspots and Trends analysis of Real-World Data Based on social network analysis and Knowledge Graph

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Asian Journal of social Pharmacy 2021年第3期16卷 272-279页

作者： Li Jiahui Zhao Peiyao Yuan Xiaoliang School of Business Administration Shenyang Pharmaceutical UniversityShenyang 110016China Research Institute of Drug Regulatory Science Shenyang Pharmaceutical UniversityShenyang 110016China

Objective To study the research status,research hotspots and development trends in the field of real-world data(RWD)through social network analysis and knowledge graph *** RWD of the past 10 years were retrieved,and literature metrological analysis was made by using UCINET and CiteSpace from *** and Conclusion The frequency and centrality of related keywords such as real-world study,hospital information system(HIS),drug combination,data mining and TCM are *** clusters labeled as clinical medication and RWD contain more *** recent 4 years,there are more articles involving the keywords of data specification,data authenticity,data security and information *** them,compound Kushen injection,HIS database and RWD are the top three *** is a long-term research hotspot for Chinese and western medicine to use HIS to study clinical medication,clinical characteristics,diseases and ***,the research of RWD database has changed from construction to standardized collection and governance,which can make RWD *** authenticity,data security and information security will become the new hotspots in the research of RWD.

关键词： social network analysis knowledge graph real-world data data specification technical specification

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A longitudinal network analysis of social dynamics in rooks corvus frugilegus： repeated group modifications do not affect social network in captive rooks

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Current Zoology 2017年第5期63卷 379-388页

作者： Palmyre H. BOUCHERIE Sebastian SOSA Cristian PASQUARETTA Valerie DUFOUR Institut Pluridisciplinaire Hubert Curien University of Strasbourg 23 rue Becquerel 67087 Strasbourg France Centre National de la Recherche Scientifique UMR 7178 67087 Strasbourg France Formerly affiliated with Grupo de Conducta Adaptativa e Interacci6n Psychology Faculty University of Barcelona 08035 Barcelona Spain

Numerous studies have investigated the remarkable variation of social features and the resulting structures across species. Indeed, relationships are dynamic and vary in time according to various factors such as environmental conditions or individuals attributes. However, few studies have investigated the processes that stabilize the structures within a given species, and the behavioral mechanisms that ensure their coherence and continuity across time. Here, we used a dynamic actor-based model, RSiena, to investigate the consistency of the temporal dynamic of relationships of a group of captive rooks facing recurrent modifications in group composition （i.e., the loss and introduction of individuals）. We found that changes in relationships （i.e., formation and removal） followed consistent patterns regardless of group composition and sex-ratio. Rooks preferentially interacted with paired congeners （i.e., unpopular attachment） and were more likely to form rela- tionships with individuals bonded to a current social partner （i.e., ＂friends of friends＂, or triadic closure）. The sex of individuals had no effect on the dynamic of relationships. This robust behav- ioral mechanisms formed the basis of inter-connected networks, composed of sub-structures of in- dividuals emerging from the enmeshment of dyadic and triadic motifs. Overall, the present study reveals crucial aspects of the behavioral mechanisms shaping rooks social structure, suggesting that rooks live in a well-integrated society, going far beyond the unique monogamous pair-bond.

关键词： corvids preferential attachment social interactions social network analysis temporal dynamics triadic closure.

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