Several research studies have shown that complex networks modeling real-world phenomena are characterized by striking properties:(i) they are organized according to …
P Chunaev - Computer Science Review, 2020 - Elsevier
Community detection is a fundamental problem in social network analysis consisting, roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …
With the rapid development of information technologies, various big graphs are prevalent in many real applications (eg, social media and knowledge bases). An important component of …
P Bedi, C Sharma - Wiley interdisciplinary reviews: Data …, 2016 - Wiley Online Library
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 …
Networks (or graphs) appear as dominant structures in diverse domains, including sociology, biology, neuroscience and computer science. In most of the aforementioned …
Recently, the topic of community search (CS) has gained plenty of attention. Given a query vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …
Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network …
Clustering a graph, ie, assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and …
This paper presents a survey of previous studies done on the problem of tracking community evolution over time in dynamic social networks. This problem is of crucial importance in the …