Simulating Trends in Artificial Influence Networks

Hartmann, Stephan und Übler, Hannah (2016): Simulating Trends in Artificial Influence Networks. In: Journal of Artificial Societies and Social Simulation, Vol. 19, No. 1

Abstract

We present a study of the spreading of trends in artificial social influence networks using agent based models. We concentrate on basic properties of the agents which describe their individual attitudes towards a trend, as well as the influence which they exert in their social neighbourhood. Using a simple random network, we investigate the impact of network dynamicity, situations of opposing trends, and the disappearance of trends. A 'community' network is used to study the impact of group cohesiveness and connectors for the spreading of trends in social communities.

• Item Type: Journal article
• Keywords: ABM, Norms, Social Influence
• Faculties: Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP); Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Science
• Subjects: 100 Philosophy and Psychology > 100 Philosophy
• ISSN: 1460-7425
• Language: English