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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A two-state master equation based decision making model has been shown togenerate phase transitions, to be topologically complex and to manifesttemporal complexity through an inverse power-law probability distributionfunction in the switching times between the two critical states of consensus.These properties are entailed by the fundamental assumption that the networkelements in the decision making model imperfectly imitate one another. Theprocess of subordination establishes that a single network element can bedescribed by a fractional master equation whose analytic solution yields theobserved inverse power-law probability distribution obtained by numericalintegration of the two-state master equation to a high degree of accuracy.

Fractional calculus ties the microscopic and macroscopic scales of complex network dynamics