<p>I) Joining community: the nodes keep their degree and topological dependences with the rest of the network; II) Subgraph: the topological quantities depends only on the community alone.</p
<p>It is important to understand that community is two things at the same time: community represents...
In this paper, we make an attempt to develop a formal framework for what a good community should loo...
Abstract. Community detection in networks is a broad problem with many proposed solutions. Existing ...
Last time, we looked at a notion of community where we required high overall edge density among grou...
The graph of communities is a network emerging above the level of individual nodes in the hierarchi...
Many case studies have examined Community Networks and we have at hand a good many rich and well gro...
<p>The average degree is increasing in the number of shared community. This means that nodes that be...
A community in a social network is considered to be a group of nodes densely connected internally an...
A community analysis reveals 5 clusters of nodes that are more related to each other.</p
<p>If the nodes are selected according to their degree values, only node will be selected, and comm...
The application of network perspectives to communities requires some appreciation of the variety of ...
Many case studies have examined Community Networks and we have at hand a good many rich and well gro...
We say that there is a community structure in a graph when the nodes of the graph can be partitioned...
Network contents including node contents and edge contents can be utilized for community detection i...
In the previous chapter we examined theories of community and explored its various dimensions, inclu...
<p>It is important to understand that community is two things at the same time: community represents...
In this paper, we make an attempt to develop a formal framework for what a good community should loo...
Abstract. Community detection in networks is a broad problem with many proposed solutions. Existing ...
Last time, we looked at a notion of community where we required high overall edge density among grou...
The graph of communities is a network emerging above the level of individual nodes in the hierarchi...
Many case studies have examined Community Networks and we have at hand a good many rich and well gro...
<p>The average degree is increasing in the number of shared community. This means that nodes that be...
A community in a social network is considered to be a group of nodes densely connected internally an...
A community analysis reveals 5 clusters of nodes that are more related to each other.</p
<p>If the nodes are selected according to their degree values, only node will be selected, and comm...
The application of network perspectives to communities requires some appreciation of the variety of ...
Many case studies have examined Community Networks and we have at hand a good many rich and well gro...
We say that there is a community structure in a graph when the nodes of the graph can be partitioned...
Network contents including node contents and edge contents can be utilized for community detection i...
In the previous chapter we examined theories of community and explored its various dimensions, inclu...
<p>It is important to understand that community is two things at the same time: community represents...
In this paper, we make an attempt to develop a formal framework for what a good community should loo...
Abstract. Community detection in networks is a broad problem with many proposed solutions. Existing ...
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