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Structure and evolution of co-authorship network in an interdisciplinary research field

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  • Peng Liu

    (Dalian University of Technology)

  • Haoxiang Xia

    (Dalian University of Technology)

Abstract

The structure and evolution of co-authorship networks have been extensively studied in literature. However, the studies on the co-authorship network in a specific interdisciplinary field may be complementary to the mainstream of existing works. In this paper, the interdisciplinary field of “evolution of cooperation”, which has been prevalent in the last decades as a promising scientific frontier, is analyzed by extracting its co-authorship network mainly from Web of Science. The results show that the development of this field is characterized by the growth of a giant component of its collaboration network. Originally formed by assembling a few local clusters, the giant component has gradually evolved from a small cluster to a structure of “chained-communities”, and then to a small-world structure. Through examining the degree distributions and analyzing the vulnerability, we uncover that the giant component is comprised of the “elite”, the “middle-class” and the “grassroots”, with respect to the nodes’ degrees and their functions in structuring the giant component. Furthermore, the elite and the middle-class constitute a robust cohesive-core, which underpins the modular network of the giant component. The overall results of this work may illuminate more endeavors on the collaboration network in other interdisciplinary fields.

Suggested Citation

  • Peng Liu & Haoxiang Xia, 2015. "Structure and evolution of co-authorship network in an interdisciplinary research field," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 101-134, April.
  • Handle: RePEc:spr:scient:v:103:y:2015:i:1:d:10.1007_s11192-014-1525-y
    DOI: 10.1007/s11192-014-1525-y
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    as
    1. Tomassini, Marco & Luthi, Leslie, 2007. "Empirical analysis of the evolution of a scientific collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 750-764.
    2. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    3. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    4. Hisashi Ohtsuki & Christoph Hauert & Erez Lieberman & Martin A. Nowak, 2006. "A simple rule for the evolution of cooperation on graphs and social networks," Nature, Nature, vol. 441(7092), pages 502-505, May.
    5. Martin A. Nowak & Akira Sasaki & Christine Taylor & Drew Fudenberg, 2004. "Emergence of cooperation and evolutionary stability in finite populations," Nature, Nature, vol. 428(6983), pages 646-650, April.
    6. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    7. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    8. Binmore, Kenneth G. & Samuelson, Larry, 1992. "Evolutionary stability in repeated games played by finite automata," Journal of Economic Theory, Elsevier, vol. 57(2), pages 278-305, August.
    9. 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.
    10. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
    11. T. S. Evans & R. Lambiotte & P. Panzarasa, 2011. "Community structure and patterns of scientific collaboration in Business and Management," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 381-396, October.
    12. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
    13. Redouan Bshary & Alexandra S. Grutter, 2006. "Image scoring and cooperation in a cleaner fish mutualism," Nature, Nature, vol. 441(7096), pages 975-978, June.
    14. Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
    15. Massimo Franceschet, 2011. "Collaboration in computer science: A network science approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1992-2012, October.
    Full references (including those not matched with items on IDEAS)

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