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- GU Wen
- Japan Advanced Institute of Science and Technology
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- KATO Shohei
- Nagoya Institute of Technology
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- REN Fenghui
- University of Wollongong
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- SU Guoxin
- University of Wollongong
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- ITO Takayuki
- Kyoto University
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- HASEGAWA Shinobu
- Japan Advanced Institute of Science and Technology
抄録
<p>Influential user detection is critical in supporting the human facilitator-based facilitation in the online forum. Traditional approaches to detect influential users in the online forum focus on the statistical activity information such as the number of posts. However, statistical activity information cannot fully reflect the influence that users bring to the online forum. In this paper, we propose to detect the influencers from the influence propagation perspective and focus on the influential maximization (IM) problem which aims at choosing a set of users that maximize the influence propagation from the entire social network. An online forum influence propagation network (OFIPN) is proposed to model the influence from an individual user perspective and influence propagation between users, and a heuristic algorithm that is proposed to find influential users in OFIPN. Experiments are conducted by simulations with a real-world social network. Our empirical results show the effectiveness of the proposed algorithm.</p>
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E106.D (4), 433-442, 2023-04-01
一般社団法人 電子情報通信学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390577133277887488
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可