Identifying Super-Spreader Nodes in Complex Networks. (8th June 2015)

• Record Type: Journal Article
• Authors: Fu, Yu-Hsiang; Huang, Chung-Yuan; Sun, Chuen-Tsai
• Other Names: Huang He Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-06-08
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/675713
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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 highk -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.