An interpretable approach for social network formation among heterogeneous agents
Understanding the mechanisms of network formation is central in social network analysis. Network formation has been studied in many research fields with their different focuses; for example, network embedding algorithms in machine learning literature consider broad heterogeneity among agents while t...
Main Authors: | Alabdulkareem, Ahmad (Author), Yuan, Yuan (Contributor), Pentland, Alex Paul (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor) |
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group,
2019-03-07T19:23:20Z.
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Subjects: | |
Online Access: | Get fulltext |
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