Group-based Yule model for bipartite author-paper networks.
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.
Goldstein
Michel L
ML
Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, USA. michel.goldstein@okstate.edu
Morris
Steven A
SA
Yen
Gary G
GG