Opinion formation in time-varying social networks: The case of Naming Game

@article{Maity2012OpinionFI,
  title={Opinion formation in time-varying social networks: The case of Naming Game},
  author={Suman Kalyan Maity and T. Venkat Manoj and Animesh Mukherjee},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2012},
  volume={86 3 Pt 2},
  pages={
          036110
        }
}
We study the dynamics of the naming game as an opinion formation model on time-varying social networks. This agent-based model captures the essential features of the agreement dynamics by means of a memory-based negotiation process. Our study focuses on the impact of time-varying properties of the social network of the agents on the naming game dynamics. In particular, we perform a computational exploration of this model using simulations on top of real networks. We investigate the outcomes of… 

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References

SHOWING 1-10 OF 31 REFERENCES

The Naming Game in social networks: community formation and consensus engineering

TLDR
This study finds that networks with strong community structure hinder the system from reaching global agreement; the evolution of the Naming Game in these networks maintains clusters of coexisting opinions indefinitely; and investigates agent-based network strategies to facilitate convergence to global consensus.

Microscopic activity patterns in the Naming Game

TLDR
The internal agent dynamics of the naming game in populations embedded on networks is analysed, finding that it strongly depends on very general topological properties of the system (e.g. average and fluctuations of the degree).

Agreement dynamics on small-world networks

TLDR
The effect of a non-trivial topology on the dynamics of the so-called Naming Game, a recently introduced model which addresses the issue of how shared conventions emerge spontaneously in a population of agents, is analyzed.

Agreement dynamics on interaction networks with diverse topologies.

We review the behavior of a recently introduced model of agreement dynamics, called the "Naming Game." This model describes the self-organized emergence of linguistic conventions and the

Nonequilibrium dynamics of language games on complex networks.

TLDR
An extensive study of the naming game dynamics on complex networks is presented, that can be considered as the most natural topological embedding for agents involved in language games and opinion dynamics.

Asymmetric negotiation in structured language games.

TLDR
There exists an optimal value of the model parameter, which governs the frequency of high-degree agents acting as speakers in communication, that induces the fastest convergence to a global consensus on naming an object for both scale-free and small-world naming games.

Non-equilibrium phase transition in negotiation dynamics

TLDR
A model of negotiation dynamics whose aim is that of mimicking the mechanisms leading to opinion and convention formation in a population of individuals, which displays a nonequilibrium phase transition from an absorbing state in which all agents reach a consensus to an active stationary state characterized either by polarization or fragmentation in clusters of agents with different opinions.

Naming Games in Two-Dimensional and Small-World-Connected Random Geometric Networks

TLDR
A prototypical agent-based model, the naming game, on two-dimensional random geometric networks, serves as a model for agreement dynamics in large-scale, autonomously operating wireless sensor networks and presents results for the case when a small density of long-range communication links are added on top of the random geometric graph.

Do you agree? Role of feedback and broadcasting in the Naming Game

  • A. Baronchelli
  • Computer Science
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2011
TLDR
It is shown that slightly modifying the NG rules in terms of which agent performs the update in given circumstances can either alter dramatically the overall dynamics or leave it qualitatively unchanged.