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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Cascade Simulation On Optimized Networks

Authors:

Takanori Komatsu, Akira Namatame

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

Komatsu, T., & Namatame, A. (2012). Cascade Simulation On Optimized Networks. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 89-95). European Council for Modeling and Simulation. doi:10.7148/2012-0089-0095

DOI:

http://dx.doi.org/10.7148/2012-0089-0095

Abstract:

Cascade phenomena, which are sequences of adoption by agents, are the important driven forces for the society to make a successful diffusion of innovation. Cascade phenomena on complex networks occur under a range of conditions (or known as cascade windows) defined by both the average degree of the underlying network topol- ogy and the threshold of each agents(or nodes). In this paper, we obtain optimal networks for good cascade us- ing generic algorithm (GA). In order to obtain the opti- mal network for good cascade, the network should have a sufficient number of vulnerable nodes and hub nodes of medium sizes, in other words, the degree distribution of the optimal network should follow a linear combination of Poisson and uniform distribution.

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