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Frequency and structure of long distance scholarly collaborations in a physics community

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  • Lori Lorigo
  • Fabio Pellacini

Abstract

The authors present results from a real‐world study depicting remote collaboration trends of a community of more than 87,000 scientists over 30 years. They utilize publication records of more than 200,000 scholarly journal articles, together with affiliations of the authors to infer distance collaborations. The longevity of their study is of interest because it covers several years before and after the birth of the Internet and computer‐supported collaborative work (CSCW) technologies. Thus, they provide one lens through which the impact of computer‐assisted collaborative work technologies can be viewed. Their results show that there has been a steady and constant growth in the frequency of both interinstitute and cross‐country collaborations in a particular physics domain, regardless of the introduction of these technologies. This suggests that we are witnessing an evolution, rather than a revolution, with respect to long‐distance collaborative behavior. An interdisciplinary approach, combining numerical statistics, graph visualizations, and social network measurements, facilitates their remarks on the changes in the size and structure of these collaborations over this period of history.

Suggested Citation

  • Lori Lorigo & Fabio Pellacini, 2007. "Frequency and structure of long distance scholarly collaborations in a physics community," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(10), pages 1497-1502, August.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:10:p:1497-1502
    DOI: 10.1002/asi.20638
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    Cited by:

    1. Qingzhou Luo & Jianhong Cecilia Xia & Gaby Haddow & Michele Willson & Jun Yang, 2018. "Does distance hinder the collaboration between Australian universities in the humanities, arts and social sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 695-715, May.
    2. 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.
    3. Han-Wen Chang & Mu-Hsuan Huang, 2014. "Cohesive subgroups in the international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1587-1607, December.
    4. Rodriguez, Marko A. & Pepe, Alberto, 2008. "On the relationship between the structural and socioacademic communities of a coauthorship network," Journal of Informetrics, Elsevier, vol. 2(3), pages 195-201.
    5. Han-Wen Chang & Mu-Hsuan Huang, 2013. "Prominent institutions in international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 443-460, November.
    6. Tolga Yuret, 2020. "Co-worker network: How closely are researchers who published in the top five economics journals related?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2301-2317, September.

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