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D. Cai, Z. Shao, X. He, X. Yan and J. Han, “Mining Hidden Community in Heterogeneous Social Networks,” Proceeings of the 3rd International Workshop on Link Discovery, Chicago, 21-24 August 2005, pp. 58-65.

has been cited by the following article:

• TITLE: Extracting a Heterogeneous Social Network of AcademicResearchers on the Web Based on Information Retrieved from Multiple Sources

  AUTHORS: Rasim M. Alguliev, Ramiz M Aliguliyev, Fadai S Ganjaliyev

  KEYWORDS: Multi-Relational Networks, Academic Researchers’ Network, Data Source Criteria

  JOURNAL NAME: American Journal of Operations Research, Vol.1 No.2, June 17, 2011

  ABSTRACT: The majority of academic researchers present the results of their scientific activity on the Web. This trace can be used to derive useful information of their past, present activity and forecast the future intentions. Hence, social network of academic researchers can be of important value for scientific community. This information can be retrieved from various data source currently available on the Web. From each of them a separate net-work can be built. In this paper we present a method which can be used to combine multiple single-relational networks into a single network which will combine all relations, hence it will be multi-relational.