Abstract: Many real-world networks, especially social networks, exhibit an overlapping community structure. Identifying overlapping communities and overlapping nodes is a recent and increasingly active field of research. Dynamic complex networks model the evolving relationships between communities. Significant attention is attracted to the literature of community detection in complex network. Detecting and tracking communities in a dynamic network where changes arrive as a stream is a challenging issue in social network. Many algorithms have been proposed to identify and detect the dynamic communities in complex networks. This paper provides an overview of overlapping community detection algorithms in dynamic networks
Community detection in opportunistic networks has been a significant and hot issue, which is used to...
Detecting community structure is an important methodology to study complex networks. Community detec...
Detecting community structure is an important methodology to study complex networks. Community detec...
Community detection is one of the most important research area wherein invention and growthof social...
AbstractIn the field of research, Social Network Analysis is prevalent domain which pulls the attent...
Abstract—With the advancement in technology, we are surrounded with huge amount of data, which need ...
Many real-world systems are known as complex networks that can be modeled by networks of interacting...
Community detection in a social network is an emerging issue in the study of network system as it he...
AbstractIn the field of research, Social Network Analysis is prevalent domain which pulls the attent...
With the increasing diversity of social media, the demand for real-time analysis of social networks ...
Abstract—One of the main organizing principles in real-world networks is that of network communities...
Community structure is the key aspect of complex network analysis and it has important practical sig...
Community detection is essential to analyzing and exploring natural networks such as social networks...
Community Detection is a trivial task in Network Analysis and Data Mining. A widely accepted definit...
Community detection in opportunistic networks has been a significant and hot issue, which is used to...
Community detection in opportunistic networks has been a significant and hot issue, which is used to...
Detecting community structure is an important methodology to study complex networks. Community detec...
Detecting community structure is an important methodology to study complex networks. Community detec...
Community detection is one of the most important research area wherein invention and growthof social...
AbstractIn the field of research, Social Network Analysis is prevalent domain which pulls the attent...
Abstract—With the advancement in technology, we are surrounded with huge amount of data, which need ...
Many real-world systems are known as complex networks that can be modeled by networks of interacting...
Community detection in a social network is an emerging issue in the study of network system as it he...
AbstractIn the field of research, Social Network Analysis is prevalent domain which pulls the attent...
With the increasing diversity of social media, the demand for real-time analysis of social networks ...
Abstract—One of the main organizing principles in real-world networks is that of network communities...
Community structure is the key aspect of complex network analysis and it has important practical sig...
Community detection is essential to analyzing and exploring natural networks such as social networks...
Community Detection is a trivial task in Network Analysis and Data Mining. A widely accepted definit...
Community detection in opportunistic networks has been a significant and hot issue, which is used to...
Community detection in opportunistic networks has been a significant and hot issue, which is used to...
Detecting community structure is an important methodology to study complex networks. Community detec...
Detecting community structure is an important methodology to study complex networks. Community detec...