In this paper we describe a novel algorithm based on Game Theory for Community Detection in Online Social Networks. Extending several Game Theoretic approaches that are well established in the literature, we propose a novel algorithm that outperforms the previous ones in terms of computational complexity and efficiency of results, as proved by a number of experiments on standard data sets
A social network can be defined as a set of people connected by a set of people. Social network anal...
Abstract—By increasing the popularity of social networking websites like Facebook and Twitter, analy...
Complex networks are often organized in groups or communities of agents that share the same features...
In this paper we describe a novel algorithm based on Game Theory for Community Detection in Online S...
In this paper we describe a novel algorithm based on Game Theory for Community Detection in Social N...
Motivated by the observation that communities in real world social networks form due to actions of r...
The difficulty of analysis in social networks mainly originates from its huge scale and complicated ...
Abstract—Discovering communities in popular social networks like Facebook has been receiving signifi...
Abstract—Most real-world social networks are inherently dynamic and composed of communities that are...
Most real-world social networks are inherently dynamic and composed of communities that are constant...
The problem of community detection is important as it helps in understanding the spread of informat...
Communities typically capture homophily as people of the same community share many common features. ...
Most real-world social networks are inherently dynamic, composed of communities that are constantly ...
The detection of evolving communities in dynamic complex networks is a challenging problem that rece...
The detection of evolving communities in dynamic complex networks is a challenging problem that rece...
A social network can be defined as a set of people connected by a set of people. Social network anal...
Abstract—By increasing the popularity of social networking websites like Facebook and Twitter, analy...
Complex networks are often organized in groups or communities of agents that share the same features...
In this paper we describe a novel algorithm based on Game Theory for Community Detection in Online S...
In this paper we describe a novel algorithm based on Game Theory for Community Detection in Social N...
Motivated by the observation that communities in real world social networks form due to actions of r...
The difficulty of analysis in social networks mainly originates from its huge scale and complicated ...
Abstract—Discovering communities in popular social networks like Facebook has been receiving signifi...
Abstract—Most real-world social networks are inherently dynamic and composed of communities that are...
Most real-world social networks are inherently dynamic and composed of communities that are constant...
The problem of community detection is important as it helps in understanding the spread of informat...
Communities typically capture homophily as people of the same community share many common features. ...
Most real-world social networks are inherently dynamic, composed of communities that are constantly ...
The detection of evolving communities in dynamic complex networks is a challenging problem that rece...
The detection of evolving communities in dynamic complex networks is a challenging problem that rece...
A social network can be defined as a set of people connected by a set of people. Social network anal...
Abstract—By increasing the popularity of social networking websites like Facebook and Twitter, analy...
Complex networks are often organized in groups or communities of agents that share the same features...
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