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A Social Network System for Analyzing Publication Activities of Researchers

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Author Info

  • Alireza Abbasi

    ()

  • Jorn Altmann

    ()
    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

Abstract

Social networks play an increasingly important role in knowledge management, information retrieval, and collaboration. In order to leverage the full potential of social networks, social networks need to be supported through technical systems. Within this paper, we introduce such a technical system. It is called AcaSoNet. It is a system for identifying and managing social networks of researchers. In particular, AcaSoNet employs a combination of techniques to extract co-author relationships between researchers and to detect groups of persons with similar interest. Past systems have used either search engines to extract information about social networks from the Web (Web mining) or have required people¡¯s effort to enter their relationships to others into the system (as being done by most social network services). AcaSoNet, instead, uses a combination of these two types, thereby achieving data reliability and scalability. It extracts and collects data of researchers from the Web but allows researchers to modify the data. In the current version, our system can identify the social network based on publication lists and evaluate the publication activities of users within an academic community.

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File URL: ftp://147.46.237.98/DP-58.pdf
File Function: First version 2010
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Bibliographic Info

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201058.

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Length: 18 pages
Date of creation: Apr 2010
Date of revision: Apr 2010
Publication status: Published in Symposium on Collective Intelligence, COLLIN 2010, Advances in Intelligent and Soft Computing, Springer, Hagen, Germany, April 2010
Handle: RePEc:snv:dp2009:201058

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Related research

Keywords: Social network systems; academic community; co-author relationship; publication analysis; productivity analysis; knowledge sharing; knowledge transfer; Web mining; performance analysis; and social network analysis.;

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References

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  1. Jorn Altmann & Alireza Abbasi & Junseok Hwang, 2010. "Evaluating the Productivity of Researchers and their Communities: The RP-Index and the CP-Index," TEMEP Discussion Papers 201048, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  2. Alireza Abbasi & Jorn Altmann & Junseok Hwang, 2009. "Evaluating Scholars Based on their Academic Collaboration Activities: The RC-Index and CC-Index for Quantifying Collaboration Activities of Researchers and Scientific Communities," TEMEP Discussion Papers 200915, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
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Cited by:
  1. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
  2. Alireza Abbasi & Jorn Altmann & Liaquat Hossain, 2011. "Identifying the Effects of Co-Authorship Networks on the Performance of Scholars: A Correlation and Regression Analysis of Performance Measures and Social Network Analysis Measures," TEMEP Discussion Papers 201176, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2011.

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