Development and evaluation of multi-agent models of online social influence based on Cialdini’s principles
article
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 individual behavior models. The behavior model is based on three fundamental behavioral principles of social influence from the literature (i.e., Cialdini’s principles): (1) consistency, (2) liking and (3) social proof. 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.
Topics
TNO Identifier
520988
Source
Social Network Analysis and Mining, 4(218), pp. 1-12.
Pages
1-12
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