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A Group-Based Yule Model for Bipartite Author-Paper Networks

Michel L. Goldstein·Steven A. Morris·Gary G. Yen
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Abstract

This paper presents a novel 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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Michel L. Goldstein, Steven A. Morris, Gary G. Yen. 2004-09-08. A Group-Based Yule Model for Bipartite Author-Paper Networks. https://doi.org/10.1103/physreve.71.026108

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