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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 |
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Abstract [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.
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Received: 15 April 2016
Published: 19 October 2016
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