HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Research Institute for Electronic Science >
Peer-reviewed Journal Articles, etc >

A biologically inspired immunization strategy for network epidemiology

This item is licensed under:Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Files in This Item:
biologically-inspired-immunization.pdf2.63 MBPDFView/Open
Please use this identifier to cite or link to this item:

Title: A biologically inspired immunization strategy for network epidemiology
Authors: Liu, Yang Browse this author
Deng, Yong Browse this author
Jusup, Marko Browse this author
Wang, Zhen Browse this author
Keywords: Infectious agent
Physarum polycephalum
Heterogeneous topology
Degree centrality
Betweenness centrality
Closeness centrality
SIR model
Issue Date: 7-Jul-2016
Publisher: Elsevier
Journal Title: Journal of theoretical biology
Volume: 400
Start Page: 92
End Page: 102
Publisher DOI: 10.1016/j.jtbi.2016.04.018
PMID: 27113785
Abstract: Well-known immunization strategies, based on degree centrality, betweenness centrality, or closeness centrality, either neglect the structural significance of a node or require global information about the network. We propose a biologically inspired immunization strategy that circumvents both of these problems by considering the number of links of a focal node and the way the neighbors are connected among themselves. The strategy thus measures the dependence of the neighbors on the focal node, identifying the ability of this node to spread the disease. Nodes with the highest ability in the network are the first to be immunized. To test the performance of our method, we conduct numerical simulations on several computer-generated and empirical networks, using the susceptible-infected-recovered (SIR) model. The results show that the proposed strategy largely outperforms the existing well-known strategies.
Rights: (C) 2016 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Type: article (author version)
Appears in Collections:電子科学研究所 (Research Institute for Electronic Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Marko Jusup

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University