Community detection in social networks
The expansion of the web and emergence of a large number of social networking sites
(SNS) have empowered users to easily interconnect on a shared platform. A social network …
(SNS) have empowered users to easily interconnect on a shared platform. A social network …
Community detection in graphs
S Fortunato - Physics reports, 2010 - Elsevier
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 …
complex systems. One of the most relevant features of graphs representing real systems is …
Community detection algorithms: a comparative analysis
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 …
understanding of complex systems that goes beyond the local organization of their …
Community detection in social media: Performance and application considerations
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 …
Media. Community detection constitutes a significant tool for the analysis of complex …
Benchmark graphs for testing community detection algorithms
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 …
internal organization of the nodes. Many algorithms have been proposed but the crucial …
Link communities reveal multiscale complexity in networks
Networks have become a key approach to understanding systems of interacting objects,
unifying the study of diverse phenomena including biological organisms and human …
unifying the study of diverse phenomena including biological organisms and human …
Detecting the overlap** and hierarchical community structure in complex networks
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 …
organization, with groups of nodes forming tightly connected units, called communities or …
Communities in networks
“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 …
thermodynamics, it seems eminently worthy of an independent development, both on …
A classification for community discovery methods in complex networks
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 …
Much research effort has been devoted to develop methods and algorithms that can …
Laplacian dynamics and multiscale modular structure in networks
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 …
properties. Here we introduce the stability of a network partition, a measure of its quality …