Identifying Core Users in Social Resource Recommendation System with K-shell Collapse Sequences
Wu Huijuan1,2(),Jia Tina Du2,Sun Hongfei1,Jannatul Fardous2
1School of Economics & Management, Northeast Dianli University, Jilin 132012, China 2Information Technology and Mathematical Sciences, University of South Australia, Adelaide 5001, Australia
[Objective] This study aims to identify the core users in social minority groups with the help of social network behavior analysis technique, and then improve the service of social resources recommendation. [Methods] First, we collected 1,208 user tags from the website of Douban Reading, and built co-occurrence matrix for the top 100 tags. Second, we analyzed these users’ K-shell network structure and then investigated its collapse sequences volatility. [Results] We found new core users from the social minority group using the proposed method. [Limitations] The sample data size was relatively small and from only one specific field. The K-shell analysis method needed to be modified to improve the result ranking. [Conclusions] The proposed method could help the social media administrators develop new resources recommendation strategy, and promote the development of social networking systems.
武慧娟,JiaTinaDu,孙鸿飞,Jannatul Fardous. 基于K-核塌缩序列的社会化资源推荐中核心用户发现研究*[J]. 现代图书情报技术, 2016, 32(9): 58-64.
Wu Huijuan,Jia Tina Du,Sun Hongfei,Jannatul Fardous. Identifying Core Users in Social Resource Recommendation System with K-shell Collapse Sequences. New Technology of Library and Information Service, 2016, 32(9): 58-64.
Guy I, Zwerdling N, Ronen I, et al.Social Media Recommendation Based on People and Tags [C]. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2010: 194-201.
[2]
Wang J, Clements M, Yang J, et al.Personalization of Tagging Systems[J]. Information Processing & Management, 2010, 46(1): 58-70.
[3]
Guy I, Carmel D.Social Recommender Systems [C]. In: Proceedings of the 20th International Conference Companion on World Wide Web. ACM, 2011: 283-284.
[4]
Wortham J. Search Takes a Social Turn [EB/OL]. [2016- 04-02]. .
(Hu Jiming, Zhang Mandi.Research on the Social Minority Recommendation Model Based on User-Resources Association[J]. Information Studies: Theory & Application, 2014, 37(4): 123-126, 118.)
[6]
让·梅松纳夫. 群体动力学[M]. 殷世才, 孙兆通译. 北京: 商务印书馆, 1997.
[6]
(Jean Maisonneuve.Group Dynamics [M]. Translated by Yin Shicai, Sun Zhaotong. Beijing: The Commercial Press, 1997.)
(Li Gang, Ye Guanghui.Research on Information Fusion for Multiple-sensor Expert Features[J]. New Technology of Library and Information Service, 2014(4): 27-33.)
[8]
Momtaz N J, Aghaie A, Alizadeh S.Identifying Opinion Leaders for Marketing by Analyzing Online Social Networks[J]. International Journal of Virtual Communities and Social Netwoking, 2011, 3(3): 19-34.
[9]
Zhang W, He H, Cao B.Identifying and Evaluating the Internet Opinion Leader Community Based on K-clique Identifying and Evaluating the Internet Opinion Leader Community Based on K-clique Clustering[J]. Neural Computing & Applications, 2014, 25(3): 595-602.
[10]
Gnambs T, Batinic B.The Roots of Interpersonal Influence: A Mediated Moderation Model for Knowledge and Traits as Predictors of Opinion Leadership[J]. Applied Psychology, 2013, 62(4): 597-618.
(Wang Guohua, Zhang Jian, Bi Shuaihui.Study on Opinion Leaders of Emergencies in Network Opinion Evolution: A Case Study of Yao Jiaxin Event[J]. Journal of Intelligence, 2011, 30(12): 1-5.)
(Gu Pinhao, Jiang Guan.Analysis on Network Opinion Leaders in Public Emergencies——A Case Study of YANG Dacai Event[J]. Journal of Intelligence, 2013, 32(5): 20-24.)
(Li Gang, Ye Guanghui, Zhang Yan.Feature Recognition of Niche Expert——Empirical Analysis Based on MetaFilter Dataset[J]. New Technology of Library and Information Service, 2015(6): 71-77.)
(Chen Fuji, Chen Ting.Research on Public Opinion Emergencies Evolution: Based on the Perspective of Opinion Leaders Guiding Role[J]. Information and Documentation Services, 2015(2): 23-28.)
[15]
He Y, Tan J.Study on SINA Micro-blog Personalized Recommendation Based on Semantic Network[J]. Expert Systems with Applications, 2015, 42(10): 4797-4804.
[16]
Kitsak M, Gallos L K, Havlin S, et al.Identification of Influential Spreaders in Complex Networks[J]. Nature Physics, 2010, 6(11): 888-893.
(Ren Zhuoming, Liu Jianguo, Shao Feng, et al.Analysis of the Spreading Influence of the Nodes with Minimum K-shell Value in Complex Networks[J]. Acta Physica Sinica, 2013, 62(10): 10890201-10890206.)
[19]
Seidman S B.Network Structure and Minimum Degree[J]. Social Networks, 1983, 5(3): 269-287.
(Zong Gang, Zhao Xiaodong.Construction of Boolean Bipartite Network for Chinese Beer Brands Based on K-Core Analysis[J]. Journal of Beijing University of Technology, 2013, 39(6): 936-940.)