We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Spectral analysis has been successfully applied to the detection of community structure of networks, respectively being based on the adjacency matrix, the standard Laplacian matrix...
—In this paper, we propose to leverage social graphs from Online Social Networks (OSN) to improve the forwarding efficiency of mobile networks, more particularly Delay Tolerant ...
Car sharing and car pooling have proven to be an effective solution to reduce the amount of running vehicles by increasing the number of passengers per car amongst medium/big commu...
Vincenzo Dezani-Ciancaglini, Luigi Liquori, Lauren...