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| Content Provider | ACM Digital Library |
|---|---|
| Author | van der Vecht, Bob van Maanen, Peter-Paul |
| 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. |
| Starting Page | 600 |
| Ending Page | 607 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450322409 |
| DOI | 10.1145/2492517.2492564 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-08-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Online social influence Social network analysis Twitter Agent-based modeling |
| Content Type | Text |
| Resource Type | Article |
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