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

This paper presents a novel model for author-paper networks, which is basedon the assumption that authors are organized into groups and that, for eachresearch topic, the number of papers published by a group is based on asuccess-breeds-success model. Collaboration between groups is modeled as randominvitations from a group to an outside member. To analyze the model, a numberof different metrics that can be obtained in author-paper networks wereextracted. A simulation example shows that this model can effectively mimic thebehavior of a real-world author-paper network, extracted from a collection of900 journal papers in the field of complex networks.Comment: 13 pages (preprint format), 7 figure

Group-based Yule model for bipartite author-paper networks