We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Web pages can be modeled as nodes in a social network, and hyperlinks between pages form links (relationships) between the nodes. Links may take the form of comments, for example ...
Today, social networks systems have become more and more important. People have change their way to relate and communicate. Therefore, how to enhance contents and organization of a...