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Distinctiveness Centrality - Python

A Python package to calculate Distinctiveness Centrality in social networks. For the R version please see here.

Distinctiveness Centrality is a set of network metrics that attribute larger importance to distinctive connections. This provides an alternative view to that of some established metrics, which identify central nodes based on their brokerage power, the number and weight of their connections, and their ability to quickly reach all other nodes.

Formulas and full descriptions are provided in this paper.

Installation

pip install distinctiveness

Quick Start and Tutorials

  • A quick-start demo is in this notebook, while a more advanced use case is presented here.
  • The package is documented here.

Please cite as

Fronzetti Colladon, A., & Naldi, M. (2020). Distinctiveness Centrality in Social Networks. PLoS ONE, 15(5), e0233276. https://doi.org/10.1371/journal.pone.0233276

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A Python package to calculate Distinctiveness Centrality in social networks

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