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

Rank-order relational data, in which each actor ranks the others according tosome criterion, often arise from sociometric measurements of judgment (e.g.,self-reported interpersonal interaction) or preference (e.g., relative liking).We propose a class of exponential-family models for rank-order relational dataand derive a new class of sufficient statistics for such data, which assume nomore than within-subject ordinal properties. Application of MCMC MLE to thisfamily allows us to estimate effects for a variety of plausible mechanismsgoverning rank structure in cross-sectional context, and to model the evolutionof such structures over time. We apply this framework to model the evolution ofrelative liking judgments in an acquaintance process, and to model recall ofrelative volume of interpersonal interaction among members of a technologyeducation program.

Exponential-Family Random Graph Models for Rank-Order Relational Data