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Topic-based heterogeneous rank

Author

Listed:
  • Tehmina Amjad

    (Indiana University
    International Islamic University)

  • Ying Ding

    (Indiana University
    Tongji University)

  • Ali Daud

    (International Islamic University)

  • Jian Xu

    (Sun Yat-sen University)

  • Vincent Malic

    (Indiana University)

Abstract

Topic-based ranking of authors, papers and journals can serve as a vital tool for identifying authorities of a given topic within a particular domain. Existing methods that measure topic-based scholarly output are limited to homogeneous networks. This study proposes a new informative metric called Topic-based Heterogeneous Rank (TH Rank) which measures the impact of a scholarly entity with respect to a given topic in a heterogeneous scholarly network containing authors, papers and journals. TH Rank calculates topic-dependent ranks for authors by considering the combined impact of the multiple factors which contribute to an author’s level of prestige. Information retrieval serves as the test field and articles about information retrieval published between 1956 and 2014 were extracted from web of science. Initial results show that TH Rank can effectively identify the most prestigious authors, papers and journals related to a specific topic.

Suggested Citation

  • Tehmina Amjad & Ying Ding & Ali Daud & Jian Xu & Vincent Malic, 2015. "Topic-based heterogeneous rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 313-334, July.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:1:d:10.1007_s11192-015-1601-y
    DOI: 10.1007/s11192-015-1601-y
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    References listed on IDEAS

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    1. Ying Ding, 2011. "Applying weighted PageRank to author citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 236-245, February.
    2. Liu, Jian-Guo & Xuan, Zhao-Guo & Dang, Yan-Zhong & Guo, Qiang & Wang, Zhong-Tuo, 2007. "Weighted network properties of Chinese nature science basic research," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 302-314.
    3. Chen, P. & Xie, H. & Maslov, S. & Redner, S., 2007. "Finding scientific gems with Google’s PageRank algorithm," Journal of Informetrics, Elsevier, vol. 1(1), pages 8-15.
    4. Wolfgang Glänzel & Bart Thijs, 2004. "The influence of author self-citations on bibliometric macro indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 281-310, March.
    5. Dean Hendrix, 2009. "Institutional self-citation rates: A three year study of universities in the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 321-331, November.
    6. Philip M. Davis, 2008. "Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2186-2188, November.
    7. Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    8. Frandsen, Tove Faber, 2007. "Journal self-citations—Analysing the JIF mechanism," Journal of Informetrics, Elsevier, vol. 1(1), pages 47-58.
    9. Jochen Krauss, 2007. "Journal self-citation rates in ecological sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 79-89, October.
    10. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
    11. Erjia Yan & Ying Ding & Cassidy R. Sugimoto, 2011. "P-Rank: An indicator measuring prestige in heterogeneous scholarly networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(3), pages 467-477, March.
    12. Dalibor Fiala & François Rousselot & Karel Ježek, 2008. "PageRank for bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 135-158, July.
    13. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    14. Ying Ding, 2011. "Topic-based PageRank on author cocitation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(3), pages 449-466, March.
    15. Dag W. Aksnes, 2003. "A macro study of self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 235-246, February.
    16. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
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    6. Fen Zhao & Yi Zhang & Jianguo Lu & Ofer Shai, 2019. "Measuring academic influence using heterogeneous author-citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1119-1140, March.

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