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.
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