Algorithm 457: finding all cliques of an undirected graph
Communications of the ACM
Mining hidden community in heterogeneous social networks
Proceedings of the 3rd international workshop on Link discovery
Proceedings of the 15th international conference on World Wide Web
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
People search: Searching people sharing similar interests from the Web
Journal of the American Society for Information Science and Technology
Community detection in large-scale social networks
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Automated social hierarchy detection through email network analysis
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Social Network Extraction of Academic Researchers
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Linking social networks on the web with FOAF: a semantic web case study
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Flink: Semantic Web technology for the extraction and analysis of social networks
Web Semantics: Science, Services and Agents on the World Wide Web
Creating a dead poets society: extracting a social network of historical persons from the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Investigation of the role of similarity measure and ranking algorithm in mining social networks
Journal of Information Science
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Majority of research institutes present results of their activity or leave information about their collaboration on the web. This fact can be used to derive useful information of their past, present and future activity. Hence, social network of research institutes can be of important value for scientific community. This information for building social network of institutes can be retrieved from multiple sources from the web. In this paper we give a reliable theoretical method which can be used to build a social network of research institutes on information extracted on the web. Initially, we shall introduce definition of social networks and then shall give a brief history of social network analysis. Afterwards, we shall present a state of the art of social network analysis on the web. Finally, we shall give a detailed explanation of the method.