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

There are hierarchical characteristics in the network and how to effectivelyreveal the hierarchical characteristics in the network is a problem in theresearch of network structure. If a node is assigned to the community to whichit belongs, how to assign the community to a higher level of community to whichit belongs is a problem. In this paper, the density of data points isinvestigated based on the clustering task. By forming the density of datapoints, the hierarchical difference of data points is constructed. Incombination with the distance between data points, a density-based leading treecan be constructed. But in a graph structure, it is a problem to build a leadtree that reveals the hierarchical relationships of the nodes on the graph.Based on the method of tree formation based on density, this paper extends themodel of leading tree to the hierarchical structure of graph nodes, discussesthe importance of graph nodes, and forms a leading tree that can reveal thehierarchical structure of graph nodes and the dependency of community.Experiments were carried out on real data sets, and a tree structure was formedin the experiment. This graph leading tree can well reveal the hierarchicalrelationships in the graph structure.

The Multi-granularity in Graph Revealed by a Generalized Leading Tree