標題: Identifying Super-Spreader Nodes in Complex Networks
作者: Fu, Yu-Hsiang
Huang, Chung-Yuan
Sun, Chuen-Tsai
資訊工程學系
Department of Computer Science
公開日期: 1-Jan-2015
摘要: Identifying the most influential individuals spreading information or infectious diseases can assist or hinder information dissemination, product exposure, and contagious disease detection. Hub nodes, high betweenness nodes, high closeness nodes, and high k-shell nodes have been identified as good initial spreaders, but efforts to use node diversity within network structures to measure spreading ability are few. Here we describe a two-step framework that combines global diversity and local features to identify the most influential network nodes. Results from susceptible-infected-recovered epidemic simulations indicate that our proposed method performs well and stably in single initial spreader scenarios associated with various complex network datasets.
URI: http://dx.doi.org/10.1155/2015/675713
http://hdl.handle.net/11536/127942
ISSN: 1024-123X
DOI: 10.1155/2015/675713
期刊: MATHEMATICAL PROBLEMS IN ENGINEERING
起始頁: 0
結束頁: 0
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