Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...
— To counteract current trends in network malware, distributed solutions have been developed that harness the power of collaborative end-host sensors. While these systems greatly...