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Network link prediction method based on multiple semantic influences of multiple neighbor nodes

A technology of neighbor nodes and prediction methods, applied in the field of social computing, which can solve problems such as inability to obtain

Active Publication Date: 2020-02-28
TIANJIN UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, in traditional methods, a user node has only a constant influence score, and when a user node influences different neighbor nodes around him / her, it cannot get nuanced influence

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  • Network link prediction method based on multiple semantic influences of multiple neighbor nodes
  • Network link prediction method based on multiple semantic influences of multiple neighbor nodes
  • Network link prediction method based on multiple semantic influences of multiple neighbor nodes

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Embodiment Construction

[0066] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, and the described specific embodiments are only for explaining the present invention, and are not intended to limit the present invention.

[0067] The network link prediction method based on multiple semantic influences of multiple neighbor nodes proposed by the present invention includes three steps: data analysis, model training and prediction analysis.

[0068] 1. Data analysis: It is used to analyze user behavior and user relationship data in social networks, and analyze relevant attribute vectors from user interest attributes and user friend attributes respectively; obtain node interest characteristics and network structure characteristics. The social network is expressed as G=(N, E, S), and the nodes in the social network all have text attributes, which contain interest information. Among them, N={u 1 ,...

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Abstract

The invention discloses a network link prediction method based on multiple semantic influences of multiple neighbor nodes, relates to data mining and topological structure analysis, and belongs to a research problem in the field of social computing. The method comprises the following steps: data analysis: analyzing node interest characteristics and network structure characteristics based on node behaviors and node relationship data in a social network; and model training: obtaining an embedded vector of each node by the model in combination with multiple semantic influences of multiple neighbor nodes; predictive analysis: measuring the probability of existence of friend links by using the similarity between the embedded vectors of the node pairs. According to the method, the constant influence scores of the neighbors are not used, and the special semantic influence of each neighbor on the node is simulated. Local-level and global-level semantic influences of neighbor nodes in network embedding training are jointly simulated, and a joint embedding vector based on the semantic influences of all the neighbor nodes is trained for each node.

Description

technical field [0001] The invention relates to data mining and topological structure analysis, and belongs to a research problem in the field of social computing. A network link prediction method combining multiple semantic influences of multiple neighbor nodes is proposed. Background technique [0002] Among many tasks in social networks, link prediction is very important. The task consists of two kinds of problems: the first is to infer possible future social links in the social network, and the other is to reconstruct the existing links that are missing in the current snapshot of the social network. The aim of the present invention is to solve the latter, namely to reconstruct missing links in social networks. [0003] To achieve link prediction, the topology information of the network is widely used in traditional link prediction methods, which are called topology-based methods. Topology-based link prediction only considers the structural information of social networ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/28G06F40/30G06N3/04G06N3/08G06Q50/00
CPCG06F16/2465G06F16/288G06N3/08G06Q50/01G06N3/048G06N3/045Y02D30/70
Inventor 王博宋美贤胡清华
Owner TIANJIN UNIV
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