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

We generate new mathematical tools with which to quantify the macroscopictopological structure of large directed networks. This is achieved via astatistical mechanical analysis of constrained maximum entropy ensembles ofdirected random graphs with prescribed joint distributions for in- andoutdegrees and prescribed degree-degree correlation functions. We calculateexact and explicit formulae for the leading orders in the system size of theShannon entropies and complexities of these ensembles, and forinformation-theoretic distances. The results are applied to data on generegulation networks.

Tailored graph ensembles as proxies or null models for real networks II: results on directed graphs