Recent research suggests that most of the real-world random networks organize themselves into communities. Communities are formed by subsets of nodes in a graph, which are closely...
In this paper, we consider semantic service discovery in a global computing environment. We propose creating a dynamic overlay network by grouping together semantically related ser...
Chara Skouteli, Christoforos Panayiotou, George Sa...
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
Haizheng Zhang, Baojun Qiu, C. Lee Giles, Henry C....
In this paper, we propose a system called kMedia that can assist users to form knowledge for community by showing shared topics networks (STN) among them. One of the important aspe...