Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/128925
Title: Epidemic spreading in partial dynamic networks
Authors: Zhou, Y.
Zhou, J. 
Keywords: Cluster Coefficient
Partial Dynamic Network
Unequal Footing
Issue Date: 2012
Citation: Zhou, Y.,Zhou, J. (2012). Epidemic spreading in partial dynamic networks. Chinese Control Conference, CCC : 1190-1194. ScholarBank@NUS Repository.
Abstract: In a society, some social contacts are stable which can preserve for a long time, while others are unstable which persist only for a short time. In this paper, we study the epidemic spreading on a network, referred as partial dynamic network, in which most connections are stable while the others are dynamic. Our analysis and simulations reveal that a larger fraction of dynamic connections may lead a larger epidemic size. Moreover, we study the influence of the cluster coefficient to the epidemic spreading on the partial dynamic network and find that higher clustering may lead to a smaller epidemic size. A simple analysis is given to explain these findings. © 2012 Chinese Assoc of Automati.
Source Title: Chinese Control Conference, CCC
URI: http://scholarbank.nus.edu.sg/handle/10635/128925
ISBN: 9789881563811
ISSN: 19341768
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

35
checked on Jun 23, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.