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Social network embedded representation method and device, equipment and storage medium

A technology embedded in representations and social networks, applied in the field of network analysis, can solve problems such as inaccurate useful information

Pending Publication Date: 2021-04-20
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The present application provides an embedded representation method, device, device and storage medium of a social network, which solves the existing technical problem that the useful information obtained during the embedded representation of a social network is not accurate enough

Method used

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  • Social network embedded representation method and device, equipment and storage medium
  • Social network embedded representation method and device, equipment and storage medium
  • Social network embedded representation method and device, equipment and storage medium

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Embodiment Construction

[0052] In order to facilitate understanding, firstly, the relevant principles and definitions in social networks are explained as follows:

[0053] A social network is a social graph G=(V,E,X) with attributes, where V is a node set, E is an edge set, and X is an attribute set. The attribute of each node vi∈V is a d-dimensional feature vector; xi∈X, which describes the attribute information of the node. The purpose of social network embedding representation is to map each node vi ∈ V into a low-dimensional space, and use the mapped image Φ(vi) of node vi as the learned node for representation. The learned node representation should satisfy three properties: low-dimensional, preserve network structure information and preserve node attribute information.

[0054] Node attribute information will tend to cluster nodes with the same attribute information, such as people of the same gender; while network structure information will tend to cluster nodes with the same neighbors. The ...

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Abstract

The invention discloses a social network embedding representation method, device and equipment and a storage medium, and the method comprises the steps of responding to an analysis request, and obtaining a to-be-analyzed social network; generating a corresponding random walk sequence for each node in the to-be-analyzed social network; performing node pair acquisition on nodes on each random walk sequence to obtain acquisition node pairs; selecting a reserved node pair from all the acquisition node pairs; and obtaining an embedded representation result of the to-be-analyzed social network according to the network training parameters corresponding to the reserved node pairs. The technical problem that only the network structure information is considered in the existing embedded representation of the social network, so that the obtained useful information is not accurate enough is solved.

Description

technical field [0001] The present application relates to the technical field of network analysis, and in particular to an embedded representation method, device, device and storage medium of a social network. Background technique [0002] The development of various social software (such as Facebook, Wechat, etc.) has brought about a complete change in people's communication with others in the network. Users are connected to each other in the network to form a social network. One of social network research is to classify users into meaningful groups according to their useful information in social networks, which has many practical applications, such as user search, targeted advertising and recommendation. Therefore, how to accurately learn useful information from social networks is a concern of researchers. [0003] Embedded representation is one of the existing methods for learning useful information. The so-called embedded representation is to represent each node as a lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00
Inventor 刘玉葆黄聪葛又铭李聪
Owner SUN YAT SEN UNIV
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