Analyzing the impact of social networks on inter-regional migration networks in an ABM of job search

Authors: Keith Waters*, School of Policy, Government, and International Affairs
Topics: Spatial Analysis & Modeling, Economic Geography, Migration
Keywords: Agent-based modeling, migration, networks, cities, job-search
Session Type: Virtual Paper
Day: 4/9/2021
Start / End Time: 1:30 PM / 2:45 PM
Room: Virtual 9
Presentation File: No File Uploaded

The presented work examines the social networks of agents in an agent-based model of artificial cities. The artificial cities model is based on an agent-based model of firm formation and job search. In the firm model, agents choose between staying at their current firm, switching to a firm that a friend works in, or starting a new firm. To model cities, the firms become place bound while the agents remain mobile. Previous work has shown that cities emerge in the model that reflect empirically observed city-size distributions and geographic dispersions. The presented work examines how the agent’s social networks impacts migration networks as the system of cities develops, that is how does the location of friends impact the probability of agents moving. The presented work also examines empirical regularities of the social networks once the system of cities has reached a stasis. For example, the average agent centrality is compared against city-size and city-productivity in the final stasis.

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