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.

Guardado en:
Detalles Bibliográficos
Autores principales: Yuan Yuan, Ahmad Alabdulkareem, Alex ‘Sandy’ Pentland
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Q
Acceso en línea:https://doaj.org/article/c5a02d4482f04595b7ba998a0e9dd4cb
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c5a02d4482f04595b7ba998a0e9dd4cb
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle 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