Home // HUSO 2017, The Third International Conference on Human and Social Analytics // View article

Modeling User Behavior in Social Media with Complex Agents

Authors:
Jan Ole Berndt
Stephanie C. Rodermund
Fabian Lorig
Ingo J. Timm

Keywords: Agent-Based Modeling; Social Actor Types; Social Media Analysis; User Behavior; Social Simulation

Abstract:
Social media like Facebook, Twitter, or Google+ have become predominant means of communication. However, their distributed structure and dynamic interaction processes make it difficult to analyze and understand that communication. Thus, we propose agent-based modeling and simulation of user behavior for analyzing communication dynamics in social media. We develop an agent decision-making method that models motivations of media users and their impact on behavior by means of social actor types. Moreover, we apply this model to Twitter communication accompanying a German television program. Our evaluation shows that different actor constellations within a population of agents drastically impact the dynamics of this communication.

Pages: 18 to 24

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2519-8351

ISBN: 978-1-61208-578-4

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017