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

Applied Network Science

Ali Mostafavi¹  Qingchun Li¹ 

[1] Zachry Department of Civil and Environmental Engineering, Texas A&M University;

关键词: Policy preferences;    Organizational proximity;    Actor collaboration networks;    Hazard mitigation;    Network motifs;    Exponential random graph models;   

DOI  :  10.1007/s41109-021-00433-z

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown