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

Complex network analysis begins in the 1930s, and the community structure in complex networks is a major characteristic that has been widely concerned. This paper introduces the basic and core ideas of several typical clustering algorithms in community detecting, and analyzes the advantages and disadvantages of each one. And it also reviews the background, the significance and the performance of these algorithms. Some algorithms may perform well in some specific areas but not in community detecting, while the newest algorithms still need to be tested in the future. Keywords-Complex Networks; Clustering; Community Detection

A survey of clustering algorithms in community detection of complex networks