Identifying Super-Spreader Nodes in Complex Networks
Joint Authors
Huang, Chung-Yuan
Fu, Yu-Hsiang
Sun, Chuen-Tsai
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Fu, Yu-Hsiang& Huang, Chung-Yuan& Sun, Chuen-Tsai. 2015. Identifying Super-Spreader Nodes in Complex Networks. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074433
Modern Language Association (MLA)
Fu, Yu-Hsiang…[et al.]. Identifying Super-Spreader Nodes in Complex Networks. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074433
American Medical Association (AMA)
Fu, Yu-Hsiang& Huang, Chung-Yuan& Sun, Chuen-Tsai. Identifying Super-Spreader Nodes in Complex Networks. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074433
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074433