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Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis

Author

Listed:
  • Theresa Velden

    (University of Michigan School of Information
    Technical University Berlin)

  • Shiyan Yan

    (University of Michigan School of Information)

  • Carl Lagoze

    (University of Michigan School of Information)

Abstract

In this paper we use the information theoretic Infomap algorithm (Rosvall and Bergstrom in Proc Natl Acad Sci 105(4):1118–1123, 2008) iteratively in order to cluster the direct citation network of the Astro Data Set (publications in 59 astrophysical journals between 2003 and 2010.) We obtain 22 clusters of documents from the giant component of the network that we interpret as constituting ‘topics’ in the field of astrophysics. Upon investigation of the content of the topics we find a grouping of topics by shared features of their ‘journal signature’, that is the journals that are most characteristic for a topic due to their popularity and distinctiveness. These groups of topics match sub disciplines within the field. We generate a cognitive map of the field using a topic affinity network that shows what topics are disproportionally well connected (by citations) to other topics. The topology of the topic affinity network highlights a high-level organization of the field by sub-discipline and observational distance of the research object from Earth.

Suggested Citation

  • Theresa Velden & Shiyan Yan & Carl Lagoze, 2017. "Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1033-1051, May.
  • Handle: RePEc:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2299-9
    DOI: 10.1007/s11192-017-2299-9
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    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Rob Koopman & Shenghui Wang & Andrea Scharnhorst, 2017. "Contextualization of topics: browsing through the universe of bibliographic information," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1119-1139, May.
    3. Martin Rosvall & Carl T Bergstrom, 2011. "Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-10, April.
    4. Theresa Velden & Kevin W. Boyack & Jochen Gläser & Rob Koopman & Andrea Scharnhorst & Shenghui Wang, 2017. "Comparison of topic extraction approaches and their results," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1169-1221, May.
    5. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
    6. Theresa Velden & Carl Lagoze, 2013. "The extraction of community structures from publication networks to support ethnographic observations of field differences in scientific communication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2405-2427, December.
    7. 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.
    8. Ding, Ying, 2011. "Community detection: Topological vs. topical," Journal of Informetrics, Elsevier, vol. 5(4), pages 498-514.
    9. 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.
    10. Theresa Velden & Asif-ul Haque & Carl Lagoze, 2010. "A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 219-242, October.
    11. Theresa Velden & Carl Lagoze, 2013. "The extraction of community structures from publication networks to support ethnographic observations of field differences in scientific communication," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(12), pages 2405-2427, December.
    12. 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.
    13. Atieh Mirshahvalad & Johan Lindholm & Mattias Derlén & Martin Rosvall, 2012. "Significant Communities in Large Sparse Networks," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-7, March.
    14. R. Rousseau, 1999. "Temporal differences in self-citation rates of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 521-531, March.
    15. Alesia Zuccala, 2006. "Author Cocitation Analysis is to intellectual structure as Web Colink Analysis is to …?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1487-1502, September.
    16. Rob Koopman & Shenghui Wang, 2017. "Mutual information based labelling and comparing clusters," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1157-1167, May.
    17. Martin Rosvall & Carl T Bergstrom, 2010. "Mapping Change in Large Networks," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-7, January.
    18. Naoki Shibata & Yuya Kajikawa & Yoshiyuki Takeda & Katsumori Matsushima, 2009. "Comparative study on methods of detecting research fronts using different types of citation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 571-580, March.
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    3. Matthias Held & Grit Laudel & Jochen Gläser, 2021. "Challenges to the validity of topic reconstruction," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4511-4536, May.
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    5. Theresa Velden & Kevin W. Boyack & Jochen Gläser & Rob Koopman & Andrea Scharnhorst & Shenghui Wang, 2017. "Comparison of topic extraction approaches and their results," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1169-1221, May.
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