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Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction
Chen X(陈曦); Li JW(李建伟); Zheng ZY(郑泽宇); Wang TR(王天然)
Department数字工厂研究室
Conference Name2016 16th IEEE International Conference on Computer and Information Technology, IEEE CIT 2016
Conference DateDecember 8-10, 2016
Conference PlaceNadi, Fiji
Source Publication2016 16th IEEE International Conference on Computer and Information Technology, IEEE CIT 2016
PublisherIEEE
Publication PlaceNew York
2016
Pages172-176
Indexed ByEI ; CPCI(ISTP)
EI Accession number20171603571876
WOS IDWOS:000411239100027
Contribution Rank1
ISBN978-1-5090-4314-9
KeywordDegree Of Integration Into Social Networks Evaluation Model Information Dissemination
AbstractSocial Networking Services rise rapidly in recent years, and gradually penetrate into the user groups all over the world. Sina Microblogging is one of the important applications and has more than 500 million registered users. Huge number of users on the platform and the mass content, provide effective corpus for information mining in groups of users. In this paper, more than 1.6 million user-generated content From 2015-07-01 to 2015-12-31 are conducted on Sina microblogging platform for the purpose of analyzingc information forwarding and propagation characteristics, as well as predictive propagation behavior, based on this we propose a concept of degree of integration into social networks (DISN), combining with the kinetic theory of human behavior ,we propose DISN evaluation indexes and DISN evaluation model. We divided the users into users of integration into social networks(UISN)and users of no-integration into social networks(UNSN),and we carried out information dissemination analysis on two groups of group behavior,data analysis results showed that the proportion of UNSN is extremely high,and we predict the boundary line of distinction between UNSN and UISN, comparing the user's perspective and the perspective of the microblogging. each of three types of acts including forward, comments and like has complicated relevances with the others, these findings can provide useful help for social group behavior studies.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19487
Collection数字工厂研究室
Corresponding AuthorChen X(陈曦)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Key Laboratory of Network Control System, Chinese Academy of Science, Shenyang, 110016, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
Recommended Citation
GB/T 7714
Chen X,Li JW,Zheng ZY,et al. Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction[C]. New York:IEEE,2016:172-176.
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