Dynamics of clustered opinions in complex networks

  • Woo-Sung Jung
  • Hie-Tae Moon
  • H. Eugene Stanley
Regular Article


A simple model for simulating tug of war game as varying the player number in a team is discussed to identify the slow pace of fast change. This model shows that a large number of information sources leads slow change for the system. Also, we introduce an opinion diffusion model including the effect of a high degree of clustering. This model shows that the de facto standard and lock-in effect, well-known phenomena in economics and business management, can be explained by the network clusters.


Complex Network Slow Pace Opinion Dynamic Marsili Opinion Diffusion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Woo-Sung Jung
    • 1
    • 2
  • Hie-Tae Moon
    • 2
  • H. Eugene Stanley
    • 1
  1. 1.Center for Polymer Studies and Department of PhysicsBoston UniversityBostonUSA
  2. 2.Center for Complex Systems and Department of PhysicsKorea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea

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