Connection and stratification in research collaboration: an analysis of the COLLNET network

  • Authors:
  • Yin Li-chun;Hildrun Kretschmer;Robert A. Hanneman;Liu Ze-yuan

  • Affiliations:
  • WISE LAB, Dalian University of Technology, Dalian, China and Institute of Science Studies and Management of Science and Technology, Dalian University of Technology, Dalian, China;WISE LAB, Dalian University of Technology, Dalian, China and Department of Library and Information Science, Humboldt-University Berlin, Berlin, Germany;Department of Sociology, University of California - Riverside;WISE LAB, Dalian University of Technology, Dalian, China and Institute of Science Studies and Management of Science and Technology, Dalian University of Technology, Dalian, China

  • Venue:
  • Information Processing and Management: an International Journal - Special issue: Informetrics
  • Year:
  • 2006

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Abstract

Co-authorship among scientists represents a prototype of a social network. By mapping the graph containing all relevant publications of members in an international collaboration network: COLLNET, we infer the structural mechanisms that govern the topology of this social system. The structure of the network affects the information available to individuals, and their opportunities to collaborate. The structure of the network also affects the overall flow of information, and the nature of the scientific community. We present a number of measures of both the macro- (whole-network) and micro- (actor-centered) structure of collaboration, and apply these to COLLNET. We find that this scientific community displays many aspects of a "small-world," and is somewhat vulnerable to disruption should major figures become inactive. We also find inequality in the roles played by individuals in the network. The inequalities, however, do not create a closed and isolated "core" or elite.