divsim (Diversity and Similarity in Social Networks)

divsim (Diversity and Similarity in Social Networks) is a Python package implementing measures of node diversity and similarity in social networks. It is especially useful for research on integrated social and belief networks, or for analyzing belief / knowledge / information / cultural homophily in social networks. The measures it implements are described in the working paper "Diversity and Similarity in Social Networks" by John McLevey, Alexander Graham, Tyler Crick, and Pierson Browne.More information coming soon. 

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Designer and Developer
Designer and Developer
Designer and Developer
Last updated: February 05, 2019

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