Critical social networks
M. Turalska and
B.J. West
Physica A: Statistical Mechanics and its Applications, 2014, vol. 395, issue C, 466-475
Abstract:
Critical social ensembles are generated using a decision making model (DMM) consisting of a master equation, with two-state elements at the nodes of a two-dimensional lattice. The dynamics of the DMM undergo phase transitions to either a consensus state or another state composed of apparently statistically independent individuals as shown in an ensemble of calculations. The critical social ensemble is entailed by the network elements nonlinearly interacting through imperfect social imitation on the backbone of a correlation network. An information entropy measure of the difference between coherent and incoherent configurations in the critical social ensemble is constructed. The entropy indicates a greater probability for the formation of either opposing groups or universal consensus above that of random disagreement.
Keywords: Critical social states; Cooperation; Consensus; Entropy; Complex networks (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437113010054
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:395:y:2014:i:c:p:466-475
DOI: 10.1016/j.physa.2013.10.033
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().