Print Email Facebook Twitter An Agent-Based Approach to Modeling Online Social Influence Title An Agent-Based Approach to Modeling Online Social Influence Author van Maanen, P.P. van der Vecht, B. Publication year 2013 Abstract The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve an individual behavior model. The behavior model is based on three fundamental behavioral principles of social influence from the literature: 1) liking, 2) social proof and 3) consistency. We have implemented the model using an agent-based modeling approach. The multi-agent model contains the social network structure, individual behavior parameters and the scenario that are obtained from empirical data. The model is validated by comparing the output of the multi-agent simulation with empirical data. We demonstrate the method by evaluating five versions of behavior models applied to the use case of Twitter behavior about a talent show on Dutch television. Subject ELSS - Earth, Life and Social Sciences ETP - Enabling Technology ProgramsHuman Organisation Resilient Organisations GI Innovation in Behaviour / Gedrag en InnovatieInformation SocietySocial MediaBehavioural influenceETP SON-MSocial influenceAgent-based modelingOnline social influenceSocial network analysisPCS - Perceptual and Cognitive Systems MO - Military Operations To reference this document use: http://resolver.tudelft.nl/uuid:631dfb4c-2e76-4e53-8aa0-1bcec05708b2 DOI https://doi.org/10.1145/2492517.2492564 TNO identifier 486584 Source ASONAM'13 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 600-607 Document type conference paper Files PDF maanen-2013-agent.pdf