Method and system based on public security data to acquire multi-dimensional personnel relation intimacy

Abstract

The invention discloses a method and a system based on public security data to acquire multi-dimensional personnel relation intimacy. The method includes: acquiring relation person data, and calculating mutual single relation intimacy, namely expressing intimacy degree of relation through single behavior; using a weighted average algorithm to calculate various single relation intimacy to acquire multi-dimensional combined relation intimacy, namely expressing intimacy degree of relation through various behaviors; for relation persons, acquiring a relation degree recession function for recession in a linear, index or half-life period manner, and re-calculating relation intimacy between the relation persons to acquire a relation between the relation persons. Compared with the prior art, the method and the system have the advantages that improvement is made on the basis of an original method based on behavior number to calculate relation intimacy, so that the method and the system are suitable for multidimensional relation intimacy defining; the method and the system take handling of the relation intimacy time recession problem into consideration, thereby being high in practicability, wide in application range and easy to popularize.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to a method and system for obtaining multi-dimensional personnel relationship intimacy based on public security data, which is highly practical. Background technique [0002] With the rapid development and popularization of computer and information technology, data reserves in various application systems in the public security industry are becoming more and more abundant, and various personnel behavior data have great value, among which personnel relationship mining is imperative. [0003] The more popular technology in personnel relationship mining is correlation mining based on relational networks. Whether using traditional relational databases or using emerging big data graph calculation methods, the calculation of personnel relationship intimacy cannot be avoided. Based on the intimacy A series of relationship analysis results. [0004] At present, the calculation...

AI Technical Summary

Problems solved by technology

[0006] 1. Public security data is multi-dimensional, and the relationship between various personnel behavior data is complex. The traditional relationship intimacy calculation method based on the number of relationship behaviors is difficult to find a reasonable weight when multiple relationship intimacy is combined;

[0007] 2. The time span of public security data is very large. When calculating the relationship intimacy of personnel historical behavior data, the time decay of relationship intimacy is ignored

[0008] Moreover, in the method for defining the number of behaviors of personnel relationship intimacy based on public security data, although it can simply and intuitively reflect the intimacy in a certain behavior relationship, it cannot effectively and reasonably calculate the degree of intimacy in a multi-dimensional combination relationship (for example: A and B The online behavior intimacy of A and C is 20, and the intimacy of A and C’s accommodation behavior is 20, so it is impossible to judge who is more intimate between A and B or C)

[0009] Personnel relationship decays over time, but it is not considered in the method of defining the number of intimacy behaviors, so there is a lack of accuracy

Images