Linked Life Data

21721793

Source:http://linkedlifedata.com/resource/pubmed/id/21721793

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-7-4
pubmed:abstractText
We investigate consensus formation and the asymptotic consensus times in stylized individual- or agent-based models, in which global agreement is achieved through pairwise negotiations with or without a bias. Considering a class of individual-based models on finite complete graphs, we introduce a coarse-graining approach (lumping microscopic variables into macrostates) to analyze the ordering dynamics in an associated random-walk framework. Within this framework, yielding a linear system, we derive general equations for the expected consensus time and the expected time spent in each macro-state. Further, we present the asymptotic solutions of the 2-word naming game and separately discuss its behavior under the influence of an external field and with the introduction of committed agents.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1089-7682
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
025115
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Social influencing and associated random walk models: Asymptotic consensus times on the complete graph.
pubmed:affiliation
Social and Cognitive Networks Academic Research Center, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180-3590, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.