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Quantitative agent based model of user behavior in an Internet discussion forum
1KEN 94/140, Warsaw, Poland.
Plos One
|December 11, 2013
Summary
This study simulates opinion evolution in online forums using an agent-based model. The model successfully replicates real-world user behavior and opinion dynamics observed over two years.
Area of Science:
- Computational Social Science
- Agent-Based Modeling
- Opinion Dynamics
Background:
- Online discussion forums exhibit complex user communication patterns and evolving opinions.
- Understanding the dynamics of opinion evolution is crucial for analyzing online social behavior.
Purpose of the Study:
- To develop and validate an agent-based model simulating opinion evolution in an Internet discussion forum.
- To reproduce two-year observational data on user communication, opinions, and emotions using the model.
Main Methods:
- Agent-based simulation employing a nonlinear emotion/information/opinion (E/I/O) individual dynamics.
- Calibration and validation against two years of empirical data from an actual Internet discussion forum.
Main Results:
- The model successfully reproduced observed user activity distributions (outdegree, indegree) and dialog lengths.
- The simulation captured political sympathies and the emotional content and purpose of user comments.
- Model parameters demonstrated intuitive meanings translatable to psychological observables.
Conclusions:
- Agent-based modeling provides a powerful tool for understanding opinion evolution in online communities.
- The E/I/O dynamics model offers a viable framework for simulating complex social interactions and opinion formation.
- The study validates the model's ability to replicate empirical observations of online forum behavior.
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