An interpretable approach for social network formation among heterogeneous agents
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.
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Nature Portfolio
2018
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oai:doaj.org-article:c5a02d4482f04595b7ba998a0e9dd4cb2021-12-02T17:32:17ZAn interpretable approach for social network formation among heterogeneous agents10.1038/s41467-018-07089-x2041-1723https://doaj.org/article/c5a02d4482f04595b7ba998a0e9dd4cb2018-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07089-xhttps://doaj.org/toc/2041-1723Complex 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.Yuan YuanAhmad AlabdulkareemAlex ‘Sandy’ PentlandNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018) |
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Science Q Yuan Yuan Ahmad Alabdulkareem Alex ‘Sandy’ Pentland An interpretable approach for social network formation among heterogeneous agents |
description |
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. |
format |
article |
author |
Yuan Yuan Ahmad Alabdulkareem Alex ‘Sandy’ Pentland |
author_facet |
Yuan Yuan Ahmad Alabdulkareem Alex ‘Sandy’ Pentland |
author_sort |
Yuan Yuan |
title |
An interpretable approach for social network formation among heterogeneous agents |
title_short |
An interpretable approach for social network formation among heterogeneous agents |
title_full |
An interpretable approach for social network formation among heterogeneous agents |
title_fullStr |
An interpretable approach for social network formation among heterogeneous agents |
title_full_unstemmed |
An interpretable approach for social network formation among heterogeneous agents |
title_sort |
interpretable approach for social network formation among heterogeneous agents |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/c5a02d4482f04595b7ba998a0e9dd4cb |
work_keys_str_mv |
AT yuanyuan aninterpretableapproachforsocialnetworkformationamongheterogeneousagents AT ahmadalabdulkareem aninterpretableapproachforsocialnetworkformationamongheterogeneousagents AT alexsandypentland aninterpretableapproachforsocialnetworkformationamongheterogeneousagents AT yuanyuan interpretableapproachforsocialnetworkformationamongheterogeneousagents AT ahmadalabdulkareem interpretableapproachforsocialnetworkformationamongheterogeneousagents AT alexsandypentland interpretableapproachforsocialnetworkformationamongheterogeneousagents |
_version_ |
1718380334374977536 |