Identifying High Influential Users in Social Networks Based on SVM-Reference-Cited by-同舟云学术

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Identifying High Influential Users in Social Networks Based on SVM

Published:2024-05-17 Issue: Volume:35 Page:586-591
ISSN:
Container-title:Proceedings of the 2024 International Conference on Smart City and Information System
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Author:

Xue Liang¹^ORCID,Yang Ruisi²^ORCID,Yu Bo³^ORCID,Zhang Yunfei¹^ORCID,Yue Qiang¹^ORCID

Affiliation:

1. School of Information Engineering, Kunming University, China

2. Faculty of Science, University of Malaya, Malaysia

3. School of Information Engineering, Kunming University, China and Faculty of Computer Science & Information Technology, University of Malaya, Malaysia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3685088.3685190

Reference13 articles.

1. Duanbing Chen, Linyuan Lü, Mingsheng Shang, and Yicheng Zhang. 2012. Identifying influential nodes in complex networks. Physica A: Statistical Mechanics and its Applications 391, 4 (February 2012), 1777–1787.

2. Venkatakrishna Rao. K. and C. Ravindranath Chowdary. 2023. K++ Shell: Influence maximization in multilayer networks using community detection. Computer Networks 234 (October 2023), 109916.

3. A method based on k-shell decomposition to identify influential nodes in complex networks

4. Maximizing the spread of influence through a social network

5. Lingfei Li, Yezheng Liu, Qing Zhou, Wei Yang, and Jiahang Yuan. 2020. Targeted influence maximization under a multifactor-based information propagation model. Information Sciences 519 (May 2020), 124–140.

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