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

— TensorFlow Plots

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


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


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


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


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


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


Additional Evolution Analyses

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


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


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


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


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


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


Added-Variable Plots

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


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


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


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


Top 10 Percent

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


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


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


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


Coreness Value Distributions with all Groups of Developers

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


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


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


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