Is Perceived Gender Related to Contributions and Standing in Open-Source Software Projects?

— Keras Plots

Back to home

Keras with coreness values derived from the cochange network using eigenvector centrality.


Keras with coreness values derived from the cochange network using hierarchy.


Keras with coreness values derived from the issue network using eigenvector centrality.


Keras with coreness values derived from the issue network using hierarchy.


Keras with coreness values derived from the combined (cochange-issue) network using eigenvector centrality.


Keras with coreness values derived from the combined (cochange-issue) network using eigenvector centrality.


Additional Evolution Analyses

Keras with coreness values derived from the cochange network using eigenvector centrality.


Keras with coreness values derived from the cochange network using hierarchy.


Keras with coreness values derived from the issue network using eigenvector centrality.


Keras with coreness values derived from the issue network using hierarchy.


Keras with coreness values derived from the combined (cochange-issue) network using eigenvector centrality.


Keras with coreness values derived from the combined (cochange-issue) network using eigenvector centrality.


Added-Variable Plots

Keras with coreness values derived from the cochange network using eigenvector centrality.


Keras with coreness values derived from the cochange network using hierarchy.


Keras with coreness values derived from the issue network using eigenvector centrality.


Keras with coreness values derived from the issue network using hierarchy.


Top 10 Percent

Keras with coreness values derived from the cochange network using eigenvector centrality (top 10%).


Keras with coreness values derived from the cochange network using hierarchy (top 10%).


Keras with coreness values derived from the issue network using eigenvector centrality (top 10%).


Keras with coreness values derived from the issue network using hierarchy (top 10%).


Coreness Value Distributions with all Groups of Developers

Keras with coreness values derived from the cochange network using eigenvector centrality.


Keras with coreness values derived from the cochange network using hierarchy.


Keras with coreness values derived from the issue network using eigenvector centrality.


Keras with coreness values derived from the issue network using hierarchy.