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Topic-based heterogeneous rank

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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.

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Authors and Affiliations

  1. School of Library and Information Science, Indiana University, Bloomington, IN, USA

    Tehmina Amjad, Ying Ding & Vincent Malic

  2. Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan

    Tehmina Amjad & Ali Daud

  3. School of Information Management, Sun Yat-sen University, Guangzhou, China

    Jian Xu

  4. Library, Tongji University, Shanghai, China

    Ying Ding

Authors
  1. Tehmina Amjad
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  2. Ying Ding
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  3. Ali Daud
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  4. Jian Xu
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  5. Vincent Malic
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Correspondence to Tehmina Amjad.

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Amjad, T., Ding, Y., Daud, A. et al. Topic-based heterogeneous rank. Scientometrics 104, 313–334 (2015). https://doi.org/10.1007/s11192-015-1601-y

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