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

To understand the structure and organization of a large-scale social,biological or technological network, it can be helpful to describe and extractlocal communities or modules of the network. In this article, we develop aneurodynamic framework to describe the local communities which correspond tothe stable states of a neuro-system built based on the network. Thequantitative criteria to describe the neurodynamic system can cover a largerange of objective functions. The resolution limit of these functions enable usto propose a generic criterion to explore multi-resolution local communities.We explain the advantages of this framework and illustrate them by testing on anumber of model and real-world networks.

A neurodynamic framework for local community extraction in networks