Group-based Yule model for bipartite author-paper networks

Michel L. Goldstein, Steven A. Morris, and Gary G. Yen
Phys. Rev. E 71, 026108 – Published 9 February 2005

Abstract

This paper presents a model for author-paper networks, which is based on the assumption that authors are organized into groups and that, for each research topic, the number of papers published by a group is based on a success-breeds-success model. Collaboration between groups is modeled as random invitations from a group to an outside member. To analyze the model, a number of different metrics that can be obtained in author-paper networks were extracted. A simulation example shows that this model can effectively mimic the behavior of a real-world author-paper network, extracted from a collection of 900 journal papers in the field of complex networks.

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  • Received 8 September 2004

DOI:https://doi.org/10.1103/PhysRevE.71.026108

©2005 American Physical Society

Authors & Affiliations

Michel L. Goldstein*, Steven A. Morris, and Gary G. Yen

  • Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, USA

  • *Electronic address: michel.goldstein@okstate.edu
  • Electronic address: steven.a.morris@okstate.edu
  • Electronic address: gyen@okstate.edu

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Issue

Vol. 71, Iss. 2 — February 2005

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