… the nodes and the community, and their final detected communities can hardly be …
community detection method to provide a high-quality corpus and a satisfying detected community…

… for efficient algorithms to analyze social networks. We address one particular task in social
network mining, namely community detection. A number of methods to address this problem …

… to social network community detection. The introduction of social network community detection
shows the different type of definitions for the social network community structure. Different …

… the network is known as community detection. It forms one of the key tasks of social network
… Various methods for community detection are categorized and discussed in the next section …

… In most social networks, triangles counts are usually high than they are in nonsocial
networks, so our approach for community detection is based on the enumeration of all maximal …

… deep community detection method which includes (1) matrix reconstruction method, (2) spatial
feature extraction method and (3) … for clustering the nodes of social network into k groups. …

… applications mentioned in their work were criminology, public health, politics, customer
segmentation and social network analysis. This work is somehow different from the other surveys …

… , discussing neither the performance attributes of methods … of community detection in relation
to Social Media applications … of applying existing community detection methods on dynamic …

… Community detection, the process of identifying subgroups of … within a network, is an aspect
of social network analysis that is … community detection methods stresses aligning methods …

… the community detection process in social media networks. We present experimental results
illustrating the effectiveness of our approach. … a unique approach for community detection by …