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Social networks have evolved to a key technology for information diffusion. Consequently, discourse behavior and communication dynamics have become an important research area. However, privacy settings limit data acquisition extremely, such that empirical online content and discourse analysis are hardly applicable here. Since the "human factor" mostly influences the behavior of individual actors, network analysis also provides a restricted perspective. This leads to the question: How to present the "human factor" in combination with network dynamics?In this paper, we propose the application of agent-based simulation (ABS) and intelligent agents for analysis of information propagation in social networks. The benefit of a simulation approach is, that dynamic analysis of communication behavior as well as artificial scenarios can be produced. In contrast to conventional ABS, where agents are modeled in a reactive or stochastic way, intelligent behavior of the agents should lead to a more realistic behavior of the simulated human actors. Thus, intelligent agents should provide a comprehensive perspective on communication processes taking place in social networks. We discuss our current

Author

Fabian Lorig; Ingo Timm

Published

1970

Language

EN