The heterogeneity in link weights may decrease the robustness of real-world complex weighted networks.

ABSTRACT: Here we report a comprehensive analysis of the robustness of seven high-quality real-world complex weighted networks to errors and attacks toward nodes and links. We use measures of the network damage conceived for a binary (e.g. largest connected cluster LCC, and binary efficiency Eff_bin) or a weighted network structure (e.g. the efficiency Eff, and the total flow TF). We find that removing a very small fraction of nodes and links with respectively higher strength and weight triggers an abrupt collapse of the weighted functioning measures while measures that evaluate the binary-topological connectedness are almost unaffected. These findings unveil a problematic response-state where the attack toward a small fraction of nodes-links returns the real-world complex networks in a co

SUBMITTER: Bellingeri M 

PROVIDER: S-EPMC6650436 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature