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Topics in dynamic research communities: An exploratory study for the field of information retrieval

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  • Yan, Erjia
  • Ding, Ying
  • Milojević, Staša
  • Sugimoto, Cassidy R.

Abstract

Research topics and research communities are not disconnected from each other: communities and topics are interwoven and co-evolving. Yet, scientometric evaluations of topics and communities have been conducted independently and synchronically, with researchers often relying on homogeneous unit of analysis, such as authors, journals, institutions, or topics. Therefore, new methods are warranted that examine the dynamic relationship between topics and communities. This paper examines how research topics are mixed and matched in evolving research communities by using a hybrid approach which integrates both topic identification and community detection techniques. Using a data set on information retrieval (IR) publications, two layers of enriched information are constructed and contrasted: one is the communities detected through the topology of coauthorship network and the other is the topics of the communities detected through the topic model. We find evidence to support the assumption that IR communities and topics are interwoven and co-evolving, and topics can be used to understand the dynamics of community structures. We recommend the use of the hybrid approach to study the dynamic interactions of topics and communities.

Suggested Citation

  • Yan, Erjia & Ding, Ying & Milojević, Staša & Sugimoto, Cassidy R., 2012. "Topics in dynamic research communities: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 6(1), pages 140-153.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:1:p:140-153
    DOI: 10.1016/j.joi.2011.10.001
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    1. Xinhai Liu & Shi Yu & Frizo Janssens & Wolfgang Glänzel & Yves Moreau & Bart De Moor, 2010. "Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(6), pages 1105-1119, June.
    2. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    3. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    4. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document‐level maps of research fields," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    5. Richard Klavans & Kevin W. Boyack, 2011. "Using global mapping to create more accurate document-level maps of research fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 1-18, January.
    6. Jarno Hoekman & Koen Frenken & Frank Oort, 2009. "The geography of collaborative knowledge production in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 721-738, September.
    7. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    8. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    9. Blaise Cronin & Lokman I. Meho, 2008. "The shifting balance of intellectual trade in information studies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(4), pages 551-564, February.
    10. Michel Zitt & Alain Lelu & Elise Bassecoulard, 2011. "Hybrid citation-word representations in science mapping: Portolan charts of research fields?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 19-39, January.
    11. Staša Milojević & Cassidy R. Sugimoto & Erjia Yan & Ying Ding, 2011. "The cognitive structure of Library and Information Science: Analysis of article title words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1933-1953, October.
    12. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    13. 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.
    14. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    15. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    16. Ding, Ying, 2011. "Community detection: Topological vs. topical," Journal of Informetrics, Elsevier, vol. 5(4), pages 498-514.
    17. S. Phineas Upham & Lori Rosenkopf & Lyle H. Ungar, 2010. "Innovating knowledge communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 525-554, May.
    18. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    19. S. Phineas Upham & Henry Small, 2010. "Emerging research fronts in science and technology: patterns of new knowledge development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 15-38, April.
    20. Howard D. White & Katherine W. McCain, 1998. "Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(4), pages 327-355.
    21. Michel Zitt & Alain Lelu & Elise Bassecoulard, 2011. "Hybrid citation‐word representations in science mapping: Portolan charts of research fields?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 19-39, January.
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