Studies have revealed that some topological properties of complex networks are robust to random node failures, but highly sensitive to failures in nodes of high centrality (i.e., attacks). This work proposes mechanisms based on local information for detecting vulnerable network configurations...

Studies have revealed that real complex networks are inherently vulnerable to the loss of high centrality nodes. These nodes are crucial to maintaining the network connectivity and are identified by classical measures, such as degree and betweenness centralities. Despite its significance, an...

In this paper we discuss the problem of information losses in organizations and how they depend on the organization network structure. Hierarchical networks are an optimal organization structure only when the failure rate of nodes or links is negligible. Otherwise, redundant information links...