161 search results - page 2 / 33 » Discovering Research Communities by Clustering Bibliographic... |
ACMSE
2005
ACM
13 years 10 months ago
2005
ACM
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...
PAKDD
2010
ACM
13 years 3 months ago
2010
ACM
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
JSAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The research community plays a very important role in helping researchers undertake new research topics. The authors propose a community mining system that helps to find...
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
SIGKDD
2010
12 years 11 months ago
2010
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...