The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs representing real systems is …
Uncovering the community structure exhibited by real networks is a crucial step toward an understanding of complex systems that goes beyond the local organization of their …
The proposed survey discusses the topic of community detection in the context of Social Media. Community detection constitutes a significant tool for the analysis of complex …
Networks have become a key approach to understanding systems of interacting objects, unifying the study of diverse phenomena including biological organisms and human …
Community structure is one of the most important features of real networks and reveals the internal organization of the nodes. Many algorithms have been proposed but the crucial …
Many networks in nature, society and technology are characterized by a mesoscopic level of organization, with groups of nodes forming tightly connected units, called communities or …
“But although, as a matter of history, statistical mechanics owes its origin to investigations in thermodynamics, it seems eminently worthy of an independent development, both on …
M Coscia, F Giannotti… - Statistical Analysis and …, 2011 - Wiley Online Library
Many real‐world networks are intimately organized according to a community structure. Much research effort has been devoted to develop methods and algorithms that can …
Most methods proposed to uncover communities in complex networks rely on their structural properties. Here we introduce the stability of a network partition, a measure of its quality …