Reconstructing news spread networks and studying its dynamics

被引：9

作者：

Mussumeci E. ^{[1
]}

Coelho F.C. ^{[1
]}

机构：

[1] Applied Mathematics School, Fundação Getulio Vargas, Rio de Janeiro

来源：

Social Network Analysis and Mining | 2018年 / 8卷 / 1期

关键词：

Epidemics; News; SIR model; Temporal networks;

D O I：

10.1007/s13278-017-0483-9

中图分类号：

学科分类号：

摘要：

News spread in internet media outlets can be seen as a contagious process forming temporal networks representing the influence between published articles. In this article we propose a methodology based on the application of natural language analysis of the articles to reconstruct the news spread network. From the reconstructed network, we show that the dynamics of the news spread can be approximated by a classical SIR epidemiological dynamics upon the network. © 2018, Springer-Verlag GmbH Austria, part of Springer Nature.

引用

共 50 条

[1] Reconstructing Diffusion Model for Virality Detection in News Spread Networks
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