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Multi-source heterogeneous network user alignment method based on graph embedding

A multi-source heterogeneous, network user technology, applied in the field of multi-source heterogeneous network user alignment based on graph embedding, to achieve the effect of easy acquisition, effective features, and high accuracy

Active Publication Date: 2020-12-15
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although many platforms provide users with an interface with a unified account ID, there is still a large number of users who prefer to use segregated accounts for different platforms, because many people may consider security or anonymity

Method used

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  • Multi-source heterogeneous network user alignment method based on graph embedding
  • Multi-source heterogeneous network user alignment method based on graph embedding
  • Multi-source heterogeneous network user alignment method based on graph embedding

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Embodiment Construction

[0034] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0035] The invention is a multi-source heterogeneous network user alignment method based on graph embedding.

[0036] Among them, graph embedding is to convert the attribute graph into a vector or vector set, and the embedded vector can capture the topology of the graph, the relationship between vertices and vertices, and other relevant information about graphs, subgraphs and vertices. More attribute embeddings can lead to better results in later tasks.

[0037] The multi-source heterogeneous network user alignment method based on graph embedding in the present invention realizes user alignment in multiple social networks through various methods such as graph embedding and neural network, and can be used in recommendation systems, character portrait completion, and link prediction. Many other applications are of great significance.

[0038] Su...

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Abstract

The invention discloses a multi-source heterogeneous network user alignment method based on graph embedding. The multi-source heterogeneous network user alignment method is characterized by comprisingthe following steps: 1) calculating the similarity of user attributes through a user name and a social role; 2) obtaining a node sequence of the heterogeneous network through a random walk algorithm,and analyzing a mutual relation between nodes; 3) calculating the node sequence by using an embedding algorithm to obtain an embedded representation of the network; and 4) training a multi-layer neural network to align the users according to the attribute similarity and the structural features of the users. The multi-source heterogeneous network user alignment method based on graph embedding canbe used for user alignment of an online social network, has important application in the fields of recommendation systems, figure portrait completion and the like, is low in calculation complexity ofan algorithm, can quickly align the same user in the network, and is high in applicability to real data.

Description

technical field [0001] The invention belongs to the field of social media data mining, in particular to a graph embedding-based multi-source heterogeneous network user alignment method. Background technique [0002] Online social network has become an indispensable part of people's daily life. Almost everyone is using online social network to connect with friends. Various social networks provide us with different types of services, such as Twitter, Facebook, YouTube, etc. People are attracted by different functions provided by different social networks, for example, a user logs into Instagram to share photos with his friends and uses Twitter to share opinions and emotions with others. In order to meet different levels of social needs, a user will register accounts on multiple social platforms. A survey in the United States shows that two-thirds of online adults (66%) use social media platforms to keep in touch with friends, family and business partners. connect. [0003] A...

Claims

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Application Information

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IPC IPC(8): G06F16/901G06F40/151G06Q50/00G06N3/04G06N3/08
CPCG06F16/9024G06F40/151G06Q50/01G06N3/08G06N3/045
Inventor 佟玲玲任博雅时磊段东圣余翠玲段运强鲁睿段荣昌尹伟周亚东刘晓明沈超
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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