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Volume & Issue no: Volume 5, Issue 6, November - December 2016

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Title:
Exploring Effects of Rewiring Strategies Based on Network Topological Properties
Author Name:
Abdulla F. Ally, Zhang Ning
Abstract:
Abstract While small networks can be visualized directly by its graph, larger networks can be envisaged and described by using a set of statistical measures of a network’s topology. In this paper, we devote our attention on three quantitative measures namely average path length, clustering coefficient, and degree distribution to investigate and discuss how rewiring strategy affects degree of spreading in random networks. In particular, we used Fermi function to account for stochastic dynamics, whereby a random network is rewired to generate a new network that serve as a basis for comparisons with the original. We argue that when network connections are rewired, the topological properties may change considerably due to the rewiring probability of some nodes’ connections. While random networks portray a Poisson distribution, the new network, by contrast, shows an increasing divergence from binomial distribution. The distribution is positively skewed and looks like exponential distribution. Most nodes have very small degree, and a few have large degree. As such, the probability of nodes being informed is higher due to larger clustering of nodes and shorter paths between them. We notice that the degree of spreading is further increased by rewiring strategies with positive β. This implies that the degree of spreading in random networks depends on the rewiring strategies—the value of the function’s parameter –used. Keywords: network dynamics, rewiring,spreading dynamics
Cite this article:
Abdulla F. Ally, Zhang Ning , " Exploring Effects of Rewiring Strategies Based on Network Topological Properties" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 6, November - December 2016 , pp. 075-078 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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