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Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions
BACKGROUND: Network-Oriented Modelling based on adaptive temporal–causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction processes. METHODS: Adaptive temporal–causal network models are based on causal rel...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732605/ https://www.ncbi.nlm.nih.gov/pubmed/29266142 http://dx.doi.org/10.1186/s40649-017-0039-1 |
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author | Treur, Jan |
author_facet | Treur, Jan |
author_sort | Treur, Jan |
collection | PubMed |
description | BACKGROUND: Network-Oriented Modelling based on adaptive temporal–causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction processes. METHODS: Adaptive temporal–causal network models are based on causal relations by which the states in the network change over time, and these causal relations are adaptive in the sense that they themselves also change over time. RESULTS: It is discussed how modelling and analysis of the dynamics of the behaviour of these adaptive network models can be performed. The approach is illustrated for adaptive network models describing social interaction. CONCLUSIONS: In particular, the homophily principle and the ‘more becomes more’ principles for social interactions are addressed. It is shown how the chosen Network-Oriented Modelling method provides a basis to model and analyse these social phenomena. |
format | Online Article Text |
id | pubmed-5732605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-57326052017-12-18 Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions Treur, Jan Comput Soc Netw Research BACKGROUND: Network-Oriented Modelling based on adaptive temporal–causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction processes. METHODS: Adaptive temporal–causal network models are based on causal relations by which the states in the network change over time, and these causal relations are adaptive in the sense that they themselves also change over time. RESULTS: It is discussed how modelling and analysis of the dynamics of the behaviour of these adaptive network models can be performed. The approach is illustrated for adaptive network models describing social interaction. CONCLUSIONS: In particular, the homophily principle and the ‘more becomes more’ principles for social interactions are addressed. It is shown how the chosen Network-Oriented Modelling method provides a basis to model and analyse these social phenomena. Springer International Publishing 2017-06-12 2017 /pmc/articles/PMC5732605/ /pubmed/29266142 http://dx.doi.org/10.1186/s40649-017-0039-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Treur, Jan Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title | Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title_full | Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title_fullStr | Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title_full_unstemmed | Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title_short | Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
title_sort | modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732605/ https://www.ncbi.nlm.nih.gov/pubmed/29266142 http://dx.doi.org/10.1186/s40649-017-0039-1 |
work_keys_str_mv | AT treurjan modellingandanalysisofthedynamicsofadaptivetemporalcausalnetworkmodelsforevolvingsocialinteractions |