English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

It is interesting and of significant importance to investigate how networkstructures co-evolve with opinions. The existing models of such co-evolutiontypically lead to the final states where network nodes either reach a globalconsensus or break into separated communities, each of which holding its owncommunity consensus. Such results, however, can hardly explain the richness ofreal-life observations that opinions are always diversified with no global oreven community consensus, and people seldom, if not never, totally cut offthemselves from dissenters. In this article, we show that, a simple modelintegrating consensus formation, link rewiring and opinion change allowscomplex system dynamics to emerge, driving the system into a dynamicequilibrium with co-existence of diversified opinions. Specifically, similaropinion holders may form into communities yet with no strict communityconsensus; and rather than being separated into disconnected communities,different communities remain to be interconnected by non-trivial proportion ofinter-community links. More importantly, we show that the complex dynamics maylead to different numbers of communities at steady state with a given tolerancebetween different opinion holders. We construct a framework for theoreticallyanalyzing the co-evolution process. Theoretical analysis and extensivesimulation results reveal some useful insights into the complex co-evolutionprocess, including the formation of dynamic equilibrium, the phase transitionbetween different steady states with different numbers of communities, and thedynamics between opinion distribution and network modularity, etc.

Opinion diversity and community formation in adaptive networks