Research Article
Toward Bio-Inspired Network Robustness - Step 1. Modularity
@INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2437, author={Suyong Eum and Shinichi Arakawa and Masayuki Murata}, title={Toward Bio-Inspired Network Robustness - Step 1. Modularity}, proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems}, proceedings_a={BIONETICS}, year={2008}, month={8}, keywords={Modularity Random and intentional attack Robustness cascading failure traffic dynamic}, doi={10.4108/ICST.BIONETICS2007.2437} }- Suyong Eum
Shinichi Arakawa
Masayuki Murata
Year: 2008
Toward Bio-Inspired Network Robustness - Step 1. Modularity
BIONETICS
ICST
DOI: 10.4108/ICST.BIONETICS2007.2437
Abstract
Biological systems have evolved themselves to withstand against perturbations so that a characteristic, called robustness, is the most commonly observed feature in all living organisms. To find out the secret of robustness in biological systems, many researchers have investigated the system level structure of biological organizations. One of the known structural features that enable biological systems to be robust is modularity. In this paper we study the correlation between modularity structure and robustness in IP networks. We carry out a simulation study to observe resistibility of different topologies, which have different level of modularity structure, against a perturbation created synthetically. The numerical results show that the quantified modularity seems to be more important measure to understand robustness of IP networks than any other common properties such as clustering coefficient, degree distribution, and average path length.