Template-Type: ReDIF-Paper 1.0 
Title: Social Network Dynamics: Individual-Level Mechanisms and Aggregate Outcomes
Author-Name: Katarzyna Growiec 
Author-Name: Jakub Growiec 
Author-Name: Bogumił Kamiński 
Abstract: Based on a calibrated computational multi-agent model with an overlapping generationsstructure, we investigate society-level consequences of creation and destruction of social ties at theindividual level. The steady state of the simulated social network exhibits realistic small-worldtopology. We also find that societies whose social networks are relatively frequently reconfigured,display relatively higher social trust, willingness to cooperate, and economic performance - at thecost of lower social utility. Similar outcomes are found for societies where social tie dissolution isrelatively weakly linked to family closeness.
Number: 2018-036
Length: 41 pages 
Creation-Date: 2018-05
Keywords: social network structure, social network dynamics, social trust, willingness to cooperate, economic performance, computational multi-agent model
Classification-JEL: C63, D85, J31, L14, Z13
File-URL: https://hdl.handle.net/20.500.12182/1141
File-Format: Application/pdf
DOI: 10.33119/kaewps2018036
Handle: RePEc:sgh:kaewps:2018036