Relational network graph construction method and device, computer equipment and storage medium

Abstract

The invention relates to a relational network graph construction method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring identity attribute information and social network information of a plurality of target objects; generating an object node and an attribute node corresponding to each target object according to the identity attribute information, and connecting the attribute node to the corresponding object node by adopting a directed edge; identifying whether different object nodes are connected with the same attribute node or not; if yes, merging the same attribute nodes, and marking the attribute nodes obtained by merging as associated nodes corresponding to a plurality of object nodes; and calculating unilateral association degrees of the object node based on different associated nodes according to the social network information, and adding the unilateral association degrees to directed edges connected with the correspondingassociated nodes to obtain a relational network graph. By adopting the method, the association relationship acquisition efficiency can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for constructing a relational network map. Background technique [0002] With the development of computer technology, data mining technology has appeared. Data mining is to extract the information hidden in it, which people don't know, but which is hidden in a large amount of incomplete, noisy, fuzzy and random actual data. It is the process of potentially useful information and knowledge. Data mining technology has been applied in many fields, such as discovering potential customers in the field of marketing, or reviewing customer qualifications in the field of credit investigation. It is necessary to mine the relationship between customers, but the current relationship mainly relies on manual analysis and processing of complicated information. , which reduces the efficiency of association relationship acquisit...

AI Technical Summary

Problems solved by technology

Data mining technology has been applied in many fields, such as discovering potential customers in the field of marketing, or reviewing customer qualifications in the field of credit investigation. It is necessary to mine the relationship between customers, but the current relationship mainly relies on manual analysis and processing of complicated information. , which reduces the efficiency of association relationship acquisition

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