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Information Diffusion Model Based on Opportunity, Trust and Motivation

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Information Retrieval (CCIR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11168))

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Abstract

Building an accurate information diffusion model around universal social factors has started to post its popularity on social network researches, which benefits a lot from its evolution simulation for identifying the messages with better prices, promoting news online quickly, and controlling public opinions. This paper constructs a novel model with respect to combine three factors: Opportunity, Social Trust and Game Selection Motivation. Firstly, the interest similarity between two users is convenient for measuring the opportunity to receive a message. Secondly, the threshold of social trust is calculated by coupling users network influence and content contribution. Thirdly, game selection with a rule to compute the best benefits has recognized as the motivation of users to spread a message. Finally, this paper presents an improved page rank algorithm to build a model by the idea of the game selection based on opportunity and social trust. Experimental result shows that social trust can accelerate the spread of information in Microblog social network by considering both the network topology and information content simultaneously.

Supported by the National Natural Science Foundation (Grant No. 61472329, 61602398), the Innovation Fund of Postgraduate, Xihua University (No. ycjj2017176), the Students’ Platform for Innovation and Entrepreneurship Training Program (No. 2018069), the Chunhui Plan Cooperation and Research Project, Ministry of Education of China (Z2015100, No. Z2015109), Scientific Research Fund of Sichuan Provincial Education Department (No. 15ZA0130), the Key Scientific Research Fund of Xihua University (No. z1412616, No. z1422615) and the Open Research Subject of Key Laboratory of Security Insurance of Cyberspace, Sichuan Province (No. szjj2015-057).

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Acknowledgement

Fruitful discussion with Yue Wu, Xianyong Li and Yongquan Fan is gratefully acknowledged. The authors thank anonymous reviewers for many useful discussions and insightful suggestions.

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Authors and Affiliations

  1. School of Computer and Software Engineering, Xihua University, Chengdu, 610039, China

    Jihong Wan, Xiaoliang Chen, Yajun Du & Mengmeng Jia

  2. Department of Computer Science and Operations Research, University of Montreal, Montreal, QC, H3C3J7, Canada

    Xiaoliang Chen

Authors
  1. Jihong Wan
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  2. Xiaoliang Chen
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  3. Yajun Du
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  4. Mengmeng Jia
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Corresponding author

Correspondence to Xiaoliang Chen .

Editor information

Editors and Affiliations

  1. School of Computer Science and Information Technology, Guangxi Normal University, Guilin, China

    Shichao Zhang

  2. Microsoft Research Asia, Beijing, China

    Tie-Yan Liu

  3. School of Computer Science, Guangxi Normal University, Guilin, China

    Xianxian Li

  4. Chinese Academy of Sciences, Beijing, China

    Jiafeng Guo

  5. Wuhan University, Wuhan, China

    Chenliang Li

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Wan, J., Chen, X., Du, Y., Jia, M. (2018). Information Diffusion Model Based on Opportunity, Trust and Motivation. In: Zhang, S., Liu, TY., Li, X., Guo, J., Li, C. (eds) Information Retrieval. CCIR 2018. Lecture Notes in Computer Science(), vol 11168. Springer, Cham. https://doi.org/10.1007/978-3-030-01012-6_15

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  • DOI: https://doi.org/10.1007/978-3-030-01012-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01011-9

  • Online ISBN: 978-3-030-01012-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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