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Analysis on large-scale rating systems based on the signed network

Author

Listed:
  • Gu, Ke
  • Fan, Ying
  • Zeng, An
  • Zhou, Jianlin
  • Di, Zengru

Abstract

In many user–object online rating systems, it is obviously that the ratings usually show the users’ attitudes: like or dislike the objects. Inevitably there is a need to introduce the sign into the rating systems. We first focus on how to construct signed bipartite networks on rating systems and reveal the basic properties of them. We also analyze the basic motif of signed bipartite networks: quadrangle. Then we introduce a novel projection method Signed Common Neighbors (SCN) to get the projection to signed user-network. The basic statistics of the projections show that SCN can well reflect the roles of negative edges.

Suggested Citation

  • Gu, Ke & Fan, Ying & Zeng, An & Zhou, Jianlin & Di, Zengru, 2018. "Analysis on large-scale rating systems based on the signed network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 99-109.
    • Handle: RePEc:eee:phsmap:v:507:y:2018:i:c:p:99-109
    DOI: 10.1016/j.physa.2018.05.048
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    References listed on IDEAS

    as
    1. Hao Liao & An Zeng & Rui Xiao & Zhuo-Ming Ren & Duan-Bing Chen & Yi-Cheng Zhang, 2014. "Ranking Reputation and Quality in Online Rating Systems," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
    2. Liu, Xiao-Lu & Liu, Jian-Guo & Yang, Kai & Guo, Qiang & Han, Jing-Ti, 2017. "Identifying online user reputation of user–object bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 508-516.
    3. Li, Menghui & Fan, Ying & Chen, Jiawei & Gao, Liang & Di, Zengru & Wu, Jinshan, 2005. "Weighted networks of scientific communication: the measurement and topological role of weight," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 643-656.
    4. Zhang, Peng & Wang, Jinliang & Li, Xiaojia & Li, Menghui & Di, Zengru & Fan, Ying, 2008. "Clustering coefficient and community structure of bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6869-6875.
    5. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    6. Li, Le & Gu, Ke & Zeng, An & Fan, Ying & Di, Zengru, 2018. "Modeling online social signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 345-352.
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    Cited by:

    1. Gu, Ke & Fan, Ying & Di, Zengru, 2020. "How to predict recommendation lists that users do not like," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Zhang, Peng & Song, Xiaoyu & Xue, Leyang & Gu, Ke, 2019. "A new recommender algorithm on signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 317-321.

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