Abstract:

It is of great realistic meaning to resist cascading failures by increasing the invulnerability of a network. In order to investigate the effects of the network’s parameters on cascading invulnerability, with the frame of a power law alterable scale free (SF) network model and a clustering coefficient alterable network model, when the nodes with the largest loads are intentionally attacked, the relation between SF network’s powerlaw parameter, clustering coefficient and average degree and the network’s invulnerability is researched. The results show that the network’s cascading invulnerability is positively related with the power law exponent and the average degree, that is, the more homogenous a network and the denser a network is， the stronger the network’s cascading invulnerability becomes. While obvious relations are not found between the clustering coefficient and the network’s invulnerability based on the cascading failure model.