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

Structural balance theory assumes triads in networks to gravitate towardsstable configurations. The theory has been verified for undirected graphs.Since real-world networks are often directed, we introduce a novel method forconsidering both transitivity and sign consistency for calculating balance insigned digraphs. We test our approach on graphs that we constructed by usingdifferent methods for identifying edge signs: natural language processing toinfer signs from underlying text data, and self-reported survey data. Ourresults show that for various social contexts and edge sign detection methods,balance is moderately high, ranging from 67.5% to 92.4%.

Structural balance in signed digraphs: considering transitivity to measure balance in graphs constructed by using different link signing methods