A new approach to the maximum flow problem
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
Journal of the ACM (JACM)
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Creating a Web community chart for navigating related communities
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Effects of maximum flow algorithm on identifying web community
Proceedings of the 4th international workshop on Web information and data management
Extracting Large-Scale Knowledge Bases from the Web
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Finding a Web Community by Maximum Flow Algorithm with HITS Score Based Capacity
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Mining Communities on the Web Using a Max-Flow and a Site-Oriented Framework
IEICE - Transactions on Information and Systems
Extracting Research Communities by Improved Maximum Flow Algorithm
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Extracting research communities from bibliographic data
International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
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In this paper we improve the performance of the community extraction algorithm in [1] from bibliographic data, which was originally proposed for web community discovery by [2]. A web community is considered to be a set of web pages holding a common topic, in other words, it is a dense subgraph induced in web graph. Such subgraphs obtained by the max-flow algorithm are called max-flow communities, and this algorithm was improved to obtain research communities from bibliographic data by the strategy for selection of community nodes in [1]. We propose an improvement of this algorithm by carefully selecting initial seed node, and show the performance of this algorithm by experiments for the list of many keywords frequently appearing in data.