An Inherent Property-Based Rumor Dissemination Model in Online Social Networks

被引：0

作者：

Cui, Lei ^{[1
]}

Xie, Gang ^{[2
]}

Yu, Shui ^{[3
]}

Zhai, Xuemeng ^{[3
]}

Gao, Longxiang ^{[1
]}

机构：

[1] School of Information Technology, Deakin University, Burwood, 3125, VIC

[2] Shanxi Key Laboratory of Advanced Control and Intelligent Information System, Taiyuan University of Science and Technology, Taiyuan

[3] School of Software, University of Technology Sydney, Sydney, 2007, NSW

来源：

IEEE Networking Letters | 2020年 / 2卷 / 01期

关键词：

community clustering; information entropy; Rumor spreading; social network; twitter;

D O I：

10.1109/LNET.2019.2952567

中图分类号：

学科分类号：

摘要：

Rumor propagation is an important issue in online social networks (OSNs), while modelling rumor propagation is critical and challenging. Existing studies are restrictive for unrealistic assumptions. We find that the inherent property of a rumor has determinant impact on propagation dynamics, and rumor propagates across different clustered communities with variable transmissibility. In this letter, we formulate the problem using information theory and establish a rigorous two layer epidemic model. As a result, the proposed model reflects the studied subject better than the previous models. Extensive experiments have been conducted through real-world twitter dataset, the results confirm our theoretical findings, and demonstrate that the proposed model outperforms the existing ones. © 2019 IEEE.

引用

页码：43 / 46

页数：3

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