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Networks in Agent-Based Social Simulation
Computational social science and in particular agent-based social simulation continue to gain momentum in the academic community. Social network analysis enjoys even more popularity. They both have much in common. In agent-based models, individual interactions are simulated to generate social patter...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121994/ http://dx.doi.org/10.1007/978-90-481-8927-4_11 |
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author | Alam, Shah Jamal Geller, Armando |
author_facet | Alam, Shah Jamal Geller, Armando |
author_sort | Alam, Shah Jamal |
collection | PubMed |
description | Computational social science and in particular agent-based social simulation continue to gain momentum in the academic community. Social network analysis enjoys even more popularity. They both have much in common. In agent-based models, individual interactions are simulated to generate social patterns of all kinds, including relationships that can then be analyzed by social network analysis. This chapter describes and discusses the role of agent-based modeling in the generative-analytical part of this symbiosis. More precisely, we look at what concepts are used, how they are used (implemented), and what kind of validation procedures can be applied. |
format | Online Article Text |
id | pubmed-7121994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71219942020-04-06 Networks in Agent-Based Social Simulation Alam, Shah Jamal Geller, Armando Agent-Based Models of Geographical Systems Article Computational social science and in particular agent-based social simulation continue to gain momentum in the academic community. Social network analysis enjoys even more popularity. They both have much in common. In agent-based models, individual interactions are simulated to generate social patterns of all kinds, including relationships that can then be analyzed by social network analysis. This chapter describes and discusses the role of agent-based modeling in the generative-analytical part of this symbiosis. More precisely, we look at what concepts are used, how they are used (implemented), and what kind of validation procedures can be applied. 2011-07-09 /pmc/articles/PMC7121994/ http://dx.doi.org/10.1007/978-90-481-8927-4_11 Text en © Springer Science+Business Media B.V. 2012 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Alam, Shah Jamal Geller, Armando Networks in Agent-Based Social Simulation |
title | Networks in Agent-Based Social Simulation |
title_full | Networks in Agent-Based Social Simulation |
title_fullStr | Networks in Agent-Based Social Simulation |
title_full_unstemmed | Networks in Agent-Based Social Simulation |
title_short | Networks in Agent-Based Social Simulation |
title_sort | networks in agent-based social simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121994/ http://dx.doi.org/10.1007/978-90-481-8927-4_11 |
work_keys_str_mv | AT alamshahjamal networksinagentbasedsocialsimulation AT gellerarmando networksinagentbasedsocialsimulation |