Robustness and Clustering Analysis of PTCL Routers Network

Abstract

Many complex systems as the networked structures have shown robustness with highly clustered behavior in different domains. Various topological and structural analysis metrics are being used to pinpoint the main nodes and robustness of the network but the closeness centrality and clustering plays very significant role in evolution and communication of nodes in growing networks. Regrettably, both network analysis metrics have been used primarilyeitheron the basis of degree of nodes or with much focused from perspective of weight (strength) of links. In this research, the behavior of routers network is analyzed by using global structures perspective (closeness centrality and clustering) based on the dataset of PTCL(Pakistan Telecommunication Limited) router network in Pakistan. The results suggest that router network is highly clustered with few close nodes and due to this is very robust under random attack(link percolation) with weighted analysis.