abstract: 'This model is implemented to study phase transition in the social impact
  model of opinion formation. A random parameter is considered as the system noise,
  indicating the individual''s inexplicable opinion changes. This noise could be an
  indicator of any other influential factors, such as public media, affects, and emotions.

  Scale-free random networks have been used as interaction network topology. Two scenarios
  have been implemented: the original social impact model and a similar model using
  the concept of social power based on the agents'' node degrees in the interaction
  network as an estimation for their persuasiveness and supportiveness strengths.

  The  simulation results show how opinion phases, including majority and non-majority,
  are formed in terms of the initial population of agents in opinion groups and noise
  levels. Two factors affect the system phase in equilibrium when the noise level
  increases: breaking up more segregated groups and dominance of stochastic behavior
  of the agents on their deterministic behavior. In the high enough noise levels,
  the system reaches a non-majority phase in equilibrium, regardless of the initial
  combination of opinion groups. In relatively low noise levels, the original model
  and the model whose agents'' strengths are proportional to their centrality have
  different behaviors. The presence of a few high-connected influential leaders in
  the latter model consequences a different behavior in reaching equilibrium phase
  and different thresholds of noise levels for phase transitions.'
authors:
- email: amansuri20@yahoo.com
  family-names: Mansouri
cff-version: 1.2.0
identifiers:
- type: url
  value: https://www.comses.net/codebases/03623141-8513-41ae-b212-03e286dd7fa9/releases/1.0.0/
keywords:
- agent-based model
- dynamics opinion
- phase transition
license: GPL-3.0
message: If you use this software, please cite it using the metadata from this file.
title: 'Phase Transition in the Social Impact Model of Opinion Formation in Scale-Free
  Networks: The Social Power Effect'
type: software
url: https://www.comses.net/codebases/03623141-8513-41ae-b212-03e286dd7fa9/releases/1.0.0/
version: 1.0.0
