Add to ORKGThe detection of communities is an important tool used to analyze the social graph of mobile phone users. Within each community, customers are sus-ceptible of attracting new ones, retaining old one
Studies of user behavior in cellular networks have served as a knowledge base for development of cri...
The file attached to this record is the author's final peer reviewed version.Detecting communities i...
The Multi-access Edge Computing (MEC) paradigm increases the computational capabilities of distribut...
Abstract. Community detection is an important tool for analyzing the social graph of mobile phone us...
Abstract—Real-world social networks from a variety of do-mains can naturally be modelled as dynamic ...
Real-world social networks from many domains can naturally be modelled as dynamic graphs. However, a...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
The topic of community detection in social networks has attracted a lot of attention in recent years...
The collective behaviors of community members for dynamic social networks are significant for unders...
A social network can be defined as a set of people connected by a set of people. Social network anal...
The rise of the Internet has brought people closer. The number of interactions between people across...
International audienceComplex networks can often be divided in dense sub-networks called communities...
Abstract: In real world, there are many networks available such as social networks, biological netwo...
Communities have been a hot topic in complex network research the last years. Several algorithms for...
AbstractData that encompasses relationships is represented by a graph of interconnected nodes. Socia...
Studies of user behavior in cellular networks have served as a knowledge base for development of cri...
The file attached to this record is the author's final peer reviewed version.Detecting communities i...
The Multi-access Edge Computing (MEC) paradigm increases the computational capabilities of distribut...
Abstract. Community detection is an important tool for analyzing the social graph of mobile phone us...
Abstract—Real-world social networks from a variety of do-mains can naturally be modelled as dynamic ...
Real-world social networks from many domains can naturally be modelled as dynamic graphs. However, a...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
The topic of community detection in social networks has attracted a lot of attention in recent years...
The collective behaviors of community members for dynamic social networks are significant for unders...
A social network can be defined as a set of people connected by a set of people. Social network anal...
The rise of the Internet has brought people closer. The number of interactions between people across...
International audienceComplex networks can often be divided in dense sub-networks called communities...
Abstract: In real world, there are many networks available such as social networks, biological netwo...
Communities have been a hot topic in complex network research the last years. Several algorithms for...
AbstractData that encompasses relationships is represented by a graph of interconnected nodes. Socia...
Studies of user behavior in cellular networks have served as a knowledge base for development of cri...
The file attached to this record is the author's final peer reviewed version.Detecting communities i...
The Multi-access Edge Computing (MEC) paradigm increases the computational capabilities of distribut...