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» Bibliometric approach to community discovery
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ACMSE
2005
ACM
13 years 10 months ago
Bibliometric approach to community discovery
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...
Narsingh Deo, Hemant Balakrishnan
GC
2004
Springer
13 years 10 months ago
Communities: Concept-Based Querying for Mobile Services
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...
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
13 years 11 months ago
Discovering Temporal Communities from Social Network Documents
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...
ISI
2007
Springer
13 years 11 months ago
An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks
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....
PRICAI
2000
Springer
13 years 8 months ago
Discovery of Shared Topics Networks among People - A Simple Approach to Find Community Knowledge from WWW Bookmarks
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...
Hideaki Takeda, Takeshi Matsuzuka, Yuichiro Tanigu...