Various models have been recently proposed to reflect and predict different properties of complex networks. However, the community structure, which is one of the most important properties, is not well studied and modeled. In this paper, we suggest a principle called “preferential placement”, which allows to model a realistic community structure. We provide an extensive empirical analysis of the obtained structure as well as some theoretical heuristics. © Springer International Publishing AG 2017
The graph of communities is a network emerging above the level of individual nodes in the hierarchi...
In human societies, people's willingness to compete and strive for better social status, as well as ...
Community detection and hierarchy extraction are usually thought of as separate inference tasks on n...
Many social and biological networks consist of communities - groups of nodes within which connection...
International audienceOne of the most prominent properties in real-world networks is the presence of...
International audienceCommunity detection consists in searching cohesive subgroups in complex networ...
Community structure is a network characteristic where nodes can be naturally divided into densely co...
Abstract — Community structure is the most common topological structure in complex networks. An impo...
Background Community structure is one of the key properties of complex networks and plays a crucial ...
Abstract Recent interest in complex systems and specially social networks has catalyzed the developm...
The community structure of a complex network can be determined by finding the partitioning of its n...
How to determine the community structure of complex networks is an open question. It is critical to ...
In this paper, we make an attempt to develop a formal framework for what a good community should loo...
The application of network perspectives to communities requires some appreciation of the variety of ...
Community structure is a commonly observed feature of real networks. The term refers to the presence...
The graph of communities is a network emerging above the level of individual nodes in the hierarchi...
In human societies, people's willingness to compete and strive for better social status, as well as ...
Community detection and hierarchy extraction are usually thought of as separate inference tasks on n...
Many social and biological networks consist of communities - groups of nodes within which connection...
International audienceOne of the most prominent properties in real-world networks is the presence of...
International audienceCommunity detection consists in searching cohesive subgroups in complex networ...
Community structure is a network characteristic where nodes can be naturally divided into densely co...
Abstract — Community structure is the most common topological structure in complex networks. An impo...
Background Community structure is one of the key properties of complex networks and plays a crucial ...
Abstract Recent interest in complex systems and specially social networks has catalyzed the developm...
The community structure of a complex network can be determined by finding the partitioning of its n...
How to determine the community structure of complex networks is an open question. It is critical to ...
In this paper, we make an attempt to develop a formal framework for what a good community should loo...
The application of network perspectives to communities requires some appreciation of the variety of ...
Community structure is a commonly observed feature of real networks. The term refers to the presence...
The graph of communities is a network emerging above the level of individual nodes in the hierarchi...
In human societies, people's willingness to compete and strive for better social status, as well as ...
Community detection and hierarchy extraction are usually thought of as separate inference tasks on n...