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AbstractIn this article, I show one possible solution to synthesis dynamics in multiple intercity networks. I adopt a stochastic actor‐based modelling approach to explore the co‐evolution of an intercity corporate network of 57 globalized advanced producer service firms across 93 cities, and another intercity internet network between these 93 cities, for the period 2004–2010. Stochastic actor‐based models (SABMs) help to connect interactions among cities and firms on the local scale with empirically observed networks on the global scale. My analysis accounts for the co‐evolution/interdependence among multiple world city networks (WCNs) and associated network changes in individual WCNs with exogenous city‐related covariates and endogenous local network structures.

This book reports on the latest, cutting-edge scholarship on integrating social network and spatial analyses in the built environment. It sheds light on conceptualization and Implementation of such integration, integration for intra-city level analysis, as well as integration for inter-city level analysis. It explores the use of new data sources concerning human andurban dynamics and provides a discussion of how social network and spatial analyses could be synthesized for a more nuanced understanding of the built environment. As such this book will be a valuable resource for scholars focusing on city-related networks in a number of 'urban' disciplines, including but not limited to urbangeography, urbaninformatics, urban planning, urban sociology, andurban studies.