Emergence of Small-World Networks in an Overlapping-Generations Model of Social Dynamics, Trust and Economic Performance

Katarzyna Growiec , Jakub Growiec , Bogumił Kamiński


Author Katarzyna Growiec (Wydział Psychologii w Warszawie)
Katarzyna Growiec,,
- Wydział Psychologii w Warszawie
, Jakub Growiec
Jakub Growiec,,
, Bogumił Kamiński
Bogumił Kamiński,,
Journal seriesJASSS-The Journal of Artificial Societies and Social Simulation, [JASSS], ISSN 1460-7425, (N/A 70 pkt)
Issue year2020
Publication size in sheets1.3
Keywords in original languageSocial Network Structure, Social Network Dynamics, Trust, Willingness to Cooperate, Economic Performance, Agent-Based Model
ASJC Classification3300 General Social Sciences; 1701 Computer Science (miscellaneous)
Abstract in original languageWe study the impact of endogenous creation and destruction of social ties in an artificial society on aggregate outcomes such as generalized trust, willingness to cooperate, social utility and economic performance. To this end we put forward a computational multi-agent model where agents of overlapping generations interact in a dynamically evolving social network. In the model, four distinct dimensions of individuals’ social capital: degree, centrality, heterophilous and homophilous interactions, determine their generalized trust and willingness to cooperate, altogether helping them achieve certain levels of social utility (i.e., utility from social contacts) and economic performance. We find that the stationary state of the simulated social network exhibits realistic small-world topology. We also observe that societies whose social networks are relatively frequently reconfigured, display relatively higher generalized trust, willingness tocooperate, and economic performance— at the cost of lower social utility. Similar outcomes are found for societies where social tie dissolution is relatively weakly linked to family closeness.
URL http://jasss.soc.surrey.ac.uk/23/2/8.html
Languageen angielski
emergence of small-world.pdf 1.11 MB
Oświadczenie_1_osiagniecie_naukoweJASSS.docx 19.93 KB
Score (nominal)70
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.493; WoS Impact Factor: 2017 = 1.64 (2) - 2017=1.789 (5)
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