Table 2.

Bipartite degree distributions, with examples in the context of a scholarly authorship bipartite network.

Degree distribution	Authors (agents)	Papers (artifacts)
Right-tailed $\sim \beta (1,10$)	Most write some papers, but a few are prolific (most departments)	Most papers are sole-authored, but some are written by large teams (e.g., sociology)
Left-tailed $\sim \beta (10,1$)	Most are prolific, but some are inactive (elite departments)	Most papers are written by large teams, but some are sole-authored (e.g., physics)
Uniform $\sim \beta (1,1$)	There is substantial diversity in scholarly output (e.g., interdisciplinary departments)	There is substantial diversity in the size of authorship teams (e.g., an entire university)
Constant $\sim \beta (10,000,10,000$)	There are strong norms about how many papers an author should have (e.g., for performance evaluations)	There are strong norms about how many authors a paper should have (e.g., two: a senior author & a junior author)
Normal $\sim \beta (10,10$)	Scholarly output varies around some typical level	Authorship teams vary around some typical size