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

: The research objectives of this project were to create new mathematical tools for understanding different kinds of information networks, especially the dynamics thereof and also to import tools from geometry to analyze network dynamics. In particular, we aimed to create new mathematical frameworks for visualizing and teasing apart multiscale network dynamics. We see this as extremely relevant for the analysis of large document corpora. The primary technical approach exploits ideas from linear algebra, markov processes, diffusion networks, differential geometry, and machine learning.

Dynamic Information Networks: Geometry, Topology and Statistical Learning for the Articulation of Structure