Computational Model Library

Exploring the Effects of Link Recommendations on Social Networks (version 1.0.0)

The purpose of this model is explore how “friend-of-friend” link recommendations, which are commonly used on social networking sites, impact online social network structure. Specifically, this model generates online social networks, by connecting individuals based upon varying proportions of a) connections from the real world and b) link recommendations. Links formed by recommendation mimic mutual connection, or friend-of-friend algorithms. Generated networks can then be analyzed, by the included scripts, to assess the influence that different proportions of link recommendations have on network properties, specifically: clustering, modularity, path length, eccentricity, diameter, and degree distribution.

Release Notes

Please see ODD document.

Version Submitter First published Last modified Status
1.0.0 Ciara Sibley Thu Mar 19 16:42:22 2020 Thu Mar 19 16:42:22 2020 Published

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