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Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective

Author

Listed:
  • He, Bing
  • Ding, Ying
  • Tang, Jie
  • Reguramalingam, Vignesh
  • Bollen, Johan

Abstract

This paper proposes a framework to analyze the interdisciplinary collaboration in a coauthorship network from a meso perspective using topic modeling: (1) a customized topic model is developed to capture and formalize the interdisciplinary feature; and (2) the two algorithms Diversity Subgraph Extraction (DSE) and Constraint-based Diversity Subgraph Extraction (CDSE) are designed and implemented to extract a meso view, i.e. a diversity subgraph of the interdisciplinary collaboration. The proposed framework is demonstrated using a coauthorship network in the field of computer science. A comparison between DSE and Breadth First Search (BSF)-based subgraph extraction favors DSE in capturing the diversity in interdisciplinary collaboration. Potential possibilities for studying various research topics based on the proposed framework of analysis are discussed.

Suggested Citation

  • He, Bing & Ding, Ying & Tang, Jie & Reguramalingam, Vignesh & Bollen, Johan, 2013. "Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective," Journal of Informetrics, Elsevier, vol. 7(1), pages 117-128.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:1:p:117-128
    DOI: 10.1016/j.joi.2012.09.005
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    References listed on IDEAS

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