Link prediction method and system

A link prediction and algorithm technology, applied in prediction, other database retrieval, instruments, etc., to achieve the effect of improving accuracy

Pending Publication Date: 2022-02-25
YUNNAN UNIV
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However, based on the above methods, there is still r

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  • Link prediction method and system

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] The object of the present invention is to provide a link prediction method and system, which can improve the accuracy of link prediction.

[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046]figure 1 A schematic flow chart of a link prediction method pro

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Abstract

The invention relates to a link prediction method and system. The method comprises the following steps: acquiring social network data; constructing an undirected graph data network according to the social network data, wherein the undirected graph data network takes a person in the social network data as a node and takes a connection between persons in the social network data as a connection edge; layering the undirected graph data network by adopting a k-shell algorithm, and then deleting nodes which are not linked to inner layer nodes in an external network layer; and performing link prediction according to the deleted undirected graph data network. According to the invention, the accuracy of link prediction can be improved.

Description

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Claims

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Application Information

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Owner YUNNAN UNIV
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