A standard form of citation of this article is:

Lorenz, Jan (2006). 'Consensus Strikes Back in the Hegselmann-Krause Model of Continuous Opinion Dynamics Under Bounded Confidence'.Journal of Artificial Societies and Social Simulation9(1)8 <http://jasss.soc.surrey.ac.uk/9/1/8.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{lorenz2006,

title = {Consensus Strikes Back in the Hegselmann-Krause Model of Continuous Opinion Dynamics Under Bounded Confidence},

author = {Lorenz, Jan},

journal = {Journal of Artificial Societies and Social Simulation},

ISSN = {1460-7425},

volume = {9},

number = {1},

pages = {8},

year = {2006},

URL = {http://jasss.soc.surrey.ac.uk/9/1/8.html},

keywords = {Continuous Opinion Dynamics, Bounded Confidence, Interactive Markov Chain, Bifurcation, Number of Agents, Onesided Dynamics},

abstract = {The agent-based bounded confidence model of opinion dynamics of Hegselmann and Krause (2002) is reformulated as an interactive Markov chain. This abstracts from individual agents to a population model which gives a good view on the underlying attractive states of continuous opinion dynamics. We mutually analyse the agent-based model and the interactive Markov chain with a focus on the number of agents and onesided dynamics. Finally, we compute animated bifurcation diagrams that give an overview about the dynamical behavior. They show an interesting phenomenon when we lower the bound of confidence: After the first bifurcation from consensus to polarisation consensus strikes back for a while.},

}

The following can be copied and pasted into a text file,
which can then be imported into a reference database that supports
imports using the RIS format, such as **Reference Manager** and **EndNote**.

TY - JOUR

TI - Consensus Strikes Back in the Hegselmann-Krause Model of Continuous Opinion Dynamics Under Bounded Confidence

AU - Lorenz, Jan

Y1 - 2006/01/31

JO - Journal of Artificial Societies and Social Simulation

SN - 1460-7425

VL - 9

IS - 1

SP - 8

UR - http://jasss.soc.surrey.ac.uk/9/1/8.html

KW - Continuous Opinion Dynamics

KW - Bounded Confidence

KW - Interactive Markov Chain

KW - Bifurcation

KW - Number of Agents

KW - Onesided Dynamics

N2 - The agent-based bounded confidence model of opinion dynamics of Hegselmann and Krause (2002) is reformulated as an interactive Markov chain. This abstracts from individual agents to a population model which gives a good view on the underlying attractive states of continuous opinion dynamics. We mutually analyse the agent-based model and the interactive Markov chain with a focus on the number of agents and onesided dynamics. Finally, we compute animated bifurcation diagrams that give an overview about the dynamical behavior. They show an interesting phenomenon when we lower the bound of confidence: After the first bifurcation from consensus to polarisation consensus strikes back for a while.

ER -