{"title":"基于模糊集和系统动力学的社会网络响应分析模型","authors":"Minho Cho","doi":"10.14257/ijgdc.2018.11.4.01","DOIUrl":null,"url":null,"abstract":"Research on social network is an important topic in social science. A social network is a realistic environment with both network and interconnection characteristics. This study presents a simulation model of how each node responds to specific inputs (ex. Incentives) to the social networks. In addition, when the setting value of a specific node is changed while simulation is performed, the reaction of the related nodes can be checked in real time. The simulation model is made by considering various environments such as unidirectional, fuzzy set, weighting, and cyclic feedback, so this model can be applied in a complex environment of practical work. Finally, since the simulation model needs to analyze the node response to repetitive input and the relation of each node, we implemented it using Vensim rather than NetLogo.","PeriodicalId":46000,"journal":{"name":"International Journal of Grid and Distributed Computing","volume":" ","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Response Analysis Model of Social Networks using Fuzzy Sets and System Dynamics\",\"authors\":\"Minho Cho\",\"doi\":\"10.14257/ijgdc.2018.11.4.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research on social network is an important topic in social science. A social network is a realistic environment with both network and interconnection characteristics. This study presents a simulation model of how each node responds to specific inputs (ex. Incentives) to the social networks. In addition, when the setting value of a specific node is changed while simulation is performed, the reaction of the related nodes can be checked in real time. The simulation model is made by considering various environments such as unidirectional, fuzzy set, weighting, and cyclic feedback, so this model can be applied in a complex environment of practical work. Finally, since the simulation model needs to analyze the node response to repetitive input and the relation of each node, we implemented it using Vensim rather than NetLogo.\",\"PeriodicalId\":46000,\"journal\":{\"name\":\"International Journal of Grid and Distributed Computing\",\"volume\":\" \",\"pages\":\"1-12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Grid and Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14257/ijgdc.2018.11.4.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Grid and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/ijgdc.2018.11.4.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Response Analysis Model of Social Networks using Fuzzy Sets and System Dynamics
Research on social network is an important topic in social science. A social network is a realistic environment with both network and interconnection characteristics. This study presents a simulation model of how each node responds to specific inputs (ex. Incentives) to the social networks. In addition, when the setting value of a specific node is changed while simulation is performed, the reaction of the related nodes can be checked in real time. The simulation model is made by considering various environments such as unidirectional, fuzzy set, weighting, and cyclic feedback, so this model can be applied in a complex environment of practical work. Finally, since the simulation model needs to analyze the node response to repetitive input and the relation of each node, we implemented it using Vensim rather than NetLogo.
期刊介绍:
IJGDC aims to facilitate and support research related to control and automation technology and its applications. Our Journal provides a chance for academic and industry professionals to discuss recent progress in the area of control and automation. To bridge the gap of users who do not have access to major databases where one should pay for every downloaded article; this online publication platform is open to all readers as part of our commitment to global scientific society. Journal Topics: -Architectures and Fabrics -Autonomic and Adaptive Systems -Cluster and Grid Integration -Creation and Management of Virtual Enterprises and Organizations -Dependable and Survivable Distributed Systems -Distributed and Large-Scale Data Access and Management -Distributed Multimedia Systems -Distributed Trust Management -eScience and eBusiness Applications -Fuzzy Algorithm -Grid Economy and Business Models -Histogram Methodology -Image or Speech Filtering -Image or Speech Recognition -Information Services -Large-Scale Group Communication -Metadata, Ontologies, and Provenance -Middleware and Toolkits -Monitoring, Management and Organization Tools -Networking and Security -Novel Distributed Applications -Performance Measurement and Modeling -Pervasive Computing -Problem Solving Environments -Programming Models, Tools and Environments -QoS and resource management -Real-time and Embedded Systems -Security and Trust in Grid and Distributed Systems -Sensor Networks -Utility Computing on Global Grids -Web Services and Service-Oriented Architecture -Wireless and Mobile Ad Hoc Networks -Workflow and Multi-agent Systems