# Dynamics of bounded confidence opinion in heterogeneous social networks: concord against partial antagonism

@article{Kurmyshev2011DynamicsOB, title={Dynamics of bounded confidence opinion in heterogeneous social networks: concord against partial antagonism}, author={Evguenii V. Kurmyshev and H{\'e}ctor A. Ju{\'a}rez and Ricardo A. Gonz{\'a}lez-Silva}, journal={ArXiv}, year={2011}, volume={abs/1103.0512} }

## 98 Citations

### What is a leader of opinion formation in bounded confidence models?

- Computer ScienceArXiv
- 2013

A new bounded confidence model is proposed and studied the self-formation of opinion in heterogeneous societies composed by agents of two psychological types, concord (C-) and partial antagonism (PA-) agents and found that in the C-society a leader showing high opinion tolerance has more control over the population.

### Consensus, Bi-polarization and Multiformity in Opinion Dynamics with Bidirectional Thresholds

- Computer ScienceArXiv
- 2020

A novel model on networks of agents with the bi-directional bounded thresholds for studying the evolution of opinion dynamics and the simulation results show that the proposed mechanism can effectively explain the formation of bi-polarization during opinion evolution.

### Opinion Dynamics in Social Networks with Heterogeneous Relationships

- Computer Science
- 2014

A model of opinion dynamics in a network with heterogeneous relationships, where the influence of individuals depends on theirheterogeneous relationships is proposed, which finds that the distribution of opinions at steady state depends on the ratio of number of positive relationships and average connectivity of a network.

### An Investigation into the Sensitivity of Social Opinion Networks to Heterogeneous Goals and Preferences

- Economics2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
- 2020

This work shows that polarization and consensus dynamics, as well as topological clustering effects, may rely more than previously known on the interplay between individuals' goals for the composition of their neighborhood's opinions.

### Coevolution of Opinions and Directed Adaptive Networks in a Social Group

- Computer ScienceJ. Artif. Soc. Soc. Simul.
- 2014

The Hegselmann-Krause (HK) model is extended to investigate the coevolution of opinions and observational networks (directed ErdA¶s-RA©nyi network) and reveals that on static networks, final opinions are influenced by percolation properties of networks; but on directed adaptive networks, it is basically determined by the rewiring probability, which increases the average degree of networks.

### Opinion interaction network: opinion dynamics in social networks with heterogeneous relationships

- Computer ScienceISI-KDD '12
- 2012

It is found that the opinions at steady state depend on the degree of social harmoniousness and average connectivity, and the similar pattern can be observed in the network of Erdös_Rényi, small world and scale free, which illustrates that the topological properties have few effects on opinion dynamics with heterogeneous relationships.

### Effects of leaders and social power on opinion formation in complex networks

- Computer ScienceSimul.
- 2013

The results show the appropriateness of scale-free topology in hierarchal organizations where leaders posit influence on peripheral agents, and show that the consensus time could be significantly decreased by introducing social power.

### Numerical Interval Opinion Dynamics in Social Networks: Stable State and Consensus

- MathematicsIEEE Transactions on Fuzzy Systems
- 2021

A numerical interval opinion dynamics model is proposed to investigate the process of forming collective opinions in a group of interaction agents under an uncertain and social network context and identify the stable and oscillation agents whose opinions will always be fluctuating in the opinion evolution process.

### Opinion formation in social networks: a time-variant and non-linear model

- Economics
- 2016

This paper develops a discrete-time, non-linear, and time-variant model of opinion formation in a social network with global interactions to investigate the relationship between the final consensus…

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