Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-10-12
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
The structure of complex networks in previous research has been widely described as scale-free networks generated by the preferential attachment model. However, the preferential attachment model does not take into account the detailed topological property observed in real networks. Here we propose the models of scale-free networks which can reproduce the topological assortativity of real networks. With an identical degree distribution and network size, we study the structural robustness and fragility as well as the dynamic change of load intensity when nodes are successively removed under random and various intentional attack strategies. We find that disassortative networks are structurally robust against random attacks and highly load-tolerant, while assortative networks are most resistant to intentional attacks yet significantly fragile against random attacks.
Ihara Sigeo
Oshida Nobuhiko
No associations
LandOfFree
Structural dependence of robustness and load tolerance in scale-free networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Structural dependence of robustness and load tolerance in scale-free networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Structural dependence of robustness and load tolerance in scale-free networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-404052