Combining Text Mining and Social Network Analysis for the Identification of Research Areas of Researchers

  • Bruno K. O. Miyata University of São Paulo
  • Vitor Y. Kano University of São Paulo
  • Luciano A. Digiampietri University of São Paulo

Abstract


The automatic identification of expertise's areas or the main subject of a scientific paper is an important activity which works as basis for different social network analysis systems for the evaluation of interdisciplinary groups, detection of new trends and search for experts. This paper presents an approach for the automatic identification of researchers' areas of expertise combining text mining and social network analysis techniques.
Keywords: Text Mining, Social Network Analysis, Knowledge Areas
Published
2013-08-01
How to Cite

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MIYATA, Bruno K. O.; KANO, Vitor Y.; DIGIAMPIETRI, Luciano A.. Combining Text Mining and Social Network Analysis for the Identification of Research Areas of Researchers. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 2. , 2013, Maceió. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2013 . p.   79-90. ISSN 2595-6094.

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