Research output per year
Research output per year
Qiang Liu^{*}, Piet Van Mieghem
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
An accurate approximate formula of the die-out probability in a SIS epidemic process on a network is proposed. The formula contains only three essential parameters: the largest eigenvalue of the adjacency matrix of the network, the effective infection rate of the virus, and the initial number of infected nodes in the network. The die-out probability formula is compared with the exact die-out probability in complete graphs, Erdȍs-Rényi graphs, and a power-law graph. Furthermore, as an example, the formula is applied to the N-Intertwined Mean-Field Approximation, to explicitly incorporate the die-out.
Original language | English |
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Title of host publication | Complex Networks and their Applications V |
Subtitle of host publication | Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) |
Editors | H. Cherifi, S. Gaito, W. Quattrociocchi, A. Sala |
Place of Publication | Cham |
Publisher | Springer |
Pages | 511-521 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-319-50901-3 |
DOIs | |
Publication status | Published - 2017 |
Event | 5th International Workshop on Complex Networks and their Applications: 5th International Workshop on Complex Networks and their Applications - Milan, Italy Duration: 30 Nov 2016 → 2 Dec 2016 Conference number: 5 http://complexnetworks.org/index2016.html http://complexnetworks.org/index2016.html |
Name | Studies in Computational Intelligence |
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Volume | 693 |
ISSN (Print) | 1860-949X |
Conference | 5th International Workshop on Complex Networks and their Applications |
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Country/Territory | Italy |
City | Milan |
Period | 30/11/16 → 2/12/16 |
Internet address |