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The combined use of bibliographic coupling and cocitation for document retrieval

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  • Julie Bichteler
  • Edward A. Eaton

Abstract

A linkage similarity measure which takes into account both the bibliographic coupling of documents and their cocitations (both cited and citing papers) produced improved document retrieval over a measure based only on bibliographic coupling. The test collection consisted of 1712 papers whose relevance to specific queries had been judged by users. To evaluate the effect of using cocitation data, we calculated for each query two measures of similarity between each relevant paper and every other paper retrieved. Papers were then sorted by the similarity measures, producing two ordered lists. We then compared the resulting predictions of relevance, partial relevance, and non‐relevance to the user's evaluations of the same papers. Over‐all, the change from the bibliographic coupling measure to the linkage similarity measure, representing the introduction of cocitation data, resulted in better retrieval performance.

Suggested Citation

  • Julie Bichteler & Edward A. Eaton, 1980. "The combined use of bibliographic coupling and cocitation for document retrieval," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 31(4), pages 278-282, August.
  • Handle: RePEc:bla:jamest:v:31:y:1980:i:4:p:278-282
    DOI: 10.1002/asi.4630310408
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    Cited by:

    1. Nassiri, Isar & Masoudi-Nejad, Ali & Jalili, Mahdi & Moeini, Ali, 2013. "Normalized Similarity Index: An adjusted index to prioritize article citations," Journal of Informetrics, Elsevier, vol. 7(1), pages 91-98.
    2. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
    3. Maryam Yaghtin & Hajar Sotudeh & Mahdieh Mirzabeigi & Seyed Mostafa Fakhrahmad & Mehdi Mohammadi, 2019. "In quest of new document relations: evaluating co-opinion relations between co-citations and its impact on Information retrieval effectiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 987-1008, May.
    4. Müge Akbulut & Yaşar Tonta & Howard D. White, 2020. "Related records retrieval and pennant retrieval: an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 957-987, February.
    5. Ruturaj Baber & Yogesh Upadhyay & Prerana Baber & Rahul Pratap Singh Kaurav, 2023. "Three Decades of Consumer Ethnocentrism Research: A Bibliometric Analysis," Business Perspectives and Research, , vol. 11(1), pages 137-158, January.
    6. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    7. Christopher W. Belter, 2017. "A relevance ranking method for citation-based search results," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 731-746, August.
    8. Debmalya Mukherjee & Saumyaranjan Sahoo & Satish Kumar, 2023. "Two Decades of International Business and International Management Scholarship on Africa: A Review and Future Directions," Management International Review, Springer, vol. 63(6), pages 863-909, December.

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