Identifying core users in social resource recommendation system with K-shell collapse sequences
Date
2016
Authors
Wu, H.
Du, J.T.
Sun, H.
Fardous, J.
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Journal article
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New Technology of Library and Information Service, 2016; 32(9):58-64
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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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Copyright 2016 Data Analysis and Knowledge Discovery