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Nature Communications | Vol.9, Issue.1 | | Pages

An interpretable approach for social network formation among heterogeneous agents

Yuan Yuan,Ahmad Alabdulkareem,Alex ‘Sandy’ Pentland

Abstract

Complex networks can be a useful tool to investigate problems in social science. Here the authors use game theory to establish a network model and then use a machine learning approach to characterize the role of nodes within a social network.

Original Text (This is the original text for your reference.)

An interpretable approach for social network formation among heterogeneous agents

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Keywords

networks social network social science game theory machine learning approach

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Yuan Yuan,Ahmad Alabdulkareem,Alex ‘Sandy’ Pentland,.An interpretable approach for social network formation among heterogeneous agents. 9 (1),.

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