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Influence propagation: Interest groups and node ranking models

Author

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  • Al-Azim, Nouran Ayman R. Abd
  • Gharib, Tarek F.
  • Afify, Yasmine
  • Hamdy, Mohamed

Abstract

Influence propagation is studied in various contexts with significant practical potential applications such as viral marketing, monitoring people opinions, social psychology analysis and communities discovery. All the previously mentioned applications are concerned about the role played by the user in social network and his/her effect on other users. The current literature lacks approaches that identify influential users in social networks and analyze users ranking with respect to the users interactivity to the disseminated content.

Suggested Citation

  • Al-Azim, Nouran Ayman R. Abd & Gharib, Tarek F. & Afify, Yasmine & Hamdy, Mohamed, 2020. "Influence propagation: Interest groups and node ranking models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  • Handle: RePEc:eee:phsmap:v:553:y:2020:i:c:s0378437120300649
    DOI: 10.1016/j.physa.2020.124247
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    References listed on IDEAS

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    1. Ma, Ning & Liu, Yijun & Chi, Yuxue, 2018. "Influencer discovery algorithm in a multi-relational network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 415-425.
    2. Sheikhahmadi, Amir & Nematbakhsh, Mohammad Ali & Zareie, Ahmad, 2017. "Identification of influential users by neighbors in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 517-534.
    3. Wei, Bo & Liu, Jie & Wei, Daijun & Gao, Cai & Deng, Yong, 2015. "Weighted k-shell decomposition for complex networks based on potential edge weights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 277-283.
    4. Yuanzhi Yang & Lei Yu & Xing Wang & Siyi Chen & You Chen & Yipeng Zhou, 2019. "A novel method to identify influential nodes in complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(02), pages 1-14, December.
    5. Yang, Yuanzhi & Yu, Lei & Wang, Xing & Zhou, Zhongliang & Chen, You & Kou, Tian, 2019. "A novel method to evaluate node importance in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    6. Bae, Joonhyun & Kim, Sangwook, 2014. "Identifying and ranking influential spreaders in complex networks by neighborhood coreness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 549-559.
    7. Lv, Zhiwei & Zhao, Nan & Xiong, Fei & Chen, Nan, 2019. "A novel measure of identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 488-497.
    8. Wan, Yi-Ping & Wang, Jian & Zhang, Dong-Ge & Dong, Hao-Yang & Ren, Qing-Hui, 2018. "Ranking the spreading capability of nodes in complex networks based on link significance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 929-937.
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