The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 02, 2021

Filed:

Dec. 20, 2018
Applicant:

Tencent Technology (Shenzhen) Company Limited, Guangdong, CN;

Inventors:

Rui Wang, Shenzhen, CN;

Jun Yin, Shenzhen, CN;

Yong Kun Li, Shenzhen, CN;

Wei Chen, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/50 (2019.01); G06F 16/901 (2019.01); G06F 16/28 (2019.01); G06F 30/18 (2020.01); G06F 16/00 (2019.01); G06Q 50/00 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06F 30/18 (2020.01); G06F 16/00 (2019.01); G06F 16/285 (2019.01); G06F 16/9024 (2019.01); G06Q 30/0201 (2013.01); G06Q 50/01 (2013.01);
Abstract

A graph centrality determining method includes sampling, at least twice, nodes that are sequentially-connected and connection edges between the nodes, in an original graph representing a network structure, to obtain sampled sub-graphs, determining an influence of each of nodes in the sampled sub-graphs, forming a graph centrality determining result of each of the sampled sub-graphs, based on the influence of each of the nodes in the sampled sub-graphs, determining result of each of the sampled sub-graphs, to the original graph, to obtain an influence of each of the nodes in the original graph, clustering the influence of each of the nodes in the original graph, sorting the influence of each of the nodes in the original graph in descending order of a result of the clustering, and obtaining a predetermined quantity of nodes having influences that are top-ranked, in the original graph.


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