Local interactions and homophily effects in actor collaboration networks for urban resilience governance

Abstract Understanding actor collaboration networks and their evolution is essential to promoting collective action in resilience planning and management of interdependent infrastructure systems. Local interactions and choice homophily are two important network evolution mechanisms. Network motifs e...

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Autores principales: Qingchun Li, Ali Mostafavi
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/a8ec6c53f33e443c8d98355501068af5
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spelling oai:doaj.org-article:a8ec6c53f33e443c8d98355501068af52021-11-21T12:08:09ZLocal interactions and homophily effects in actor collaboration networks for urban resilience governance10.1007/s41109-021-00433-z2364-8228https://doaj.org/article/a8ec6c53f33e443c8d98355501068af52021-11-01T00:00:00Zhttps://doi.org/10.1007/s41109-021-00433-zhttps://doaj.org/toc/2364-8228Abstract Understanding actor collaboration networks and their evolution is essential to promoting collective action in resilience planning and management of interdependent infrastructure systems. Local interactions and choice homophily are two important network evolution mechanisms. Network motifs encode the information of network formation, configuration, and the local structure. Homophily effects, on the other hand, capture whether the network configurations have significant correlations with node properties. The objective of this paper is to explore the extent to which local interactions and homophily effects influence actor collaboration in resilience planning and management of interdependent infrastructure systems. We mapped bipartite actor collaboration network based on a post-Hurricane Harvey stakeholder survey that revealed actor collaborations for hazard mitigation. We examined seven bipartite network motifs for the mapped collaboration network and compared the mapped network to simulated random models with same degree distributions. Then we examined whether the network configurations had significant statistics for node properties using exponential random graph models. The results provide insights about the two mechanisms—local interactions and homophily effect—influencing the formation of actor collaboration in resilience planning and management of interdependent urban systems. The findings have implications for improving network cohesion and actor collaborations from diverse urban sectors.Qingchun LiAli MostafaviSpringerOpenarticlePolicy preferencesOrganizational proximityActor collaboration networksHazard mitigationNetwork motifsExponential random graph modelsApplied mathematics. Quantitative methodsT57-57.97ENApplied Network Science, Vol 6, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Policy preferences
Organizational proximity
Actor collaboration networks
Hazard mitigation
Network motifs
Exponential random graph models
Applied mathematics. Quantitative methods
T57-57.97
spellingShingle Policy preferences
Organizational proximity
Actor collaboration networks
Hazard mitigation
Network motifs
Exponential random graph models
Applied mathematics. Quantitative methods
T57-57.97
Qingchun Li
Ali Mostafavi
Local interactions and homophily effects in actor collaboration networks for urban resilience governance
description Abstract Understanding actor collaboration networks and their evolution is essential to promoting collective action in resilience planning and management of interdependent infrastructure systems. Local interactions and choice homophily are two important network evolution mechanisms. Network motifs encode the information of network formation, configuration, and the local structure. Homophily effects, on the other hand, capture whether the network configurations have significant correlations with node properties. The objective of this paper is to explore the extent to which local interactions and homophily effects influence actor collaboration in resilience planning and management of interdependent infrastructure systems. We mapped bipartite actor collaboration network based on a post-Hurricane Harvey stakeholder survey that revealed actor collaborations for hazard mitigation. We examined seven bipartite network motifs for the mapped collaboration network and compared the mapped network to simulated random models with same degree distributions. Then we examined whether the network configurations had significant statistics for node properties using exponential random graph models. The results provide insights about the two mechanisms—local interactions and homophily effect—influencing the formation of actor collaboration in resilience planning and management of interdependent urban systems. The findings have implications for improving network cohesion and actor collaborations from diverse urban sectors.
format article
author Qingchun Li
Ali Mostafavi
author_facet Qingchun Li
Ali Mostafavi
author_sort Qingchun Li
title Local interactions and homophily effects in actor collaboration networks for urban resilience governance
title_short Local interactions and homophily effects in actor collaboration networks for urban resilience governance
title_full Local interactions and homophily effects in actor collaboration networks for urban resilience governance
title_fullStr Local interactions and homophily effects in actor collaboration networks for urban resilience governance
title_full_unstemmed Local interactions and homophily effects in actor collaboration networks for urban resilience governance
title_sort local interactions and homophily effects in actor collaboration networks for urban resilience governance
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/a8ec6c53f33e443c8d98355501068af5
work_keys_str_mv AT qingchunli localinteractionsandhomophilyeffectsinactorcollaborationnetworksforurbanresiliencegovernance
AT alimostafavi localinteractionsandhomophilyeffectsinactorcollaborationnetworksforurbanresiliencegovernance
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