Criminal and loan lost person multi-network joint search method based on mobile social network relationship closeness

A mobile social network and joint search technology, which is applied in the field of multi-network joint search for criminals and people who have lost contact with loans, can solve the problems of developers running away with money and damage to house buyers, etc.

Inactive Publication Date: 2020-06-23
GUANGDONG BANACH BIG DATA TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (4) In terms of real estate, it is common for developers to run away with money and damage the buyers

Method used

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  • Criminal and loan lost person multi-network joint search method based on mobile social network relationship closeness
  • Criminal and loan lost person multi-network joint search method based on mobile social network relationship closeness
  • Criminal and loan lost person multi-network joint search method based on mobile social network relationship closeness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0119] This embodiment is based on a multi-network joint search method for missing persons such as criminals and loans based on the closeness of the mobile social network, through the mobile communication history data of the missing persons, and correspondingly builds a mobile social network based on their data traces. Then, with the help of the mobile social network of the lost person, analyze the first generation time of each network node, frequency of occurrence, node flow direction (inflow or outflow), interaction time, interval between two adjacent interactions, node interaction intensity, recent contacts, very No contact for a long time, etc., study the closeness of the relationship between the mobile social network nodes of the lost person, search and track the lost person according to the degree of closeness of the relationship, until the lost person is found and searched.

[0120] The criminals and loan losers in this application include family and social losers, etc. ...

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Abstract

The invention discloses a criminal and loan lost person multi-network joint search method based on mobile social network relationship closeness. The method comprises the following steps: constructinga mobile social network of a lost person; constructing a lost person interaction attribute matrix; constructing an exponential weight calculation model, and constructing an exponential weight interaction attribute matrix; establishing a distance calculation formula between any two nodes in the family members of the lost person; firstly, a maximum interaction user is defined, then a step-by-step elimination algorithm is proposed to determine a minimum interaction user of family members, and a relationship closeness calculation model between a lost person and any family member is established; alost person family member multi-network joint search algorithm and a lost person family member sequence search algorithm based on mobile social network relationship closeness are proposed to search lost persons. The method has practical help and operability for tracking escapers, tracing fund-carrying escapers by banks and tracking loaning lost persons by financial platforms, including lost persons found in society and families.

Description

technical field [0001] The invention belongs to the technical field of search for missing persons, and in particular relates to a multi-network joint search method for criminals and loan missing persons based on the closeness of mobile social network relationships. Background technique [0002] At present, the use of mobile social networks to study the closeness of the relationship between fugitives hunted down and borrowers from banks, financial institutions and major lending platforms, including family or social missing persons, and the corresponding search and search methods There are still reports in the literature. [0003] First of all, in the study of related issues such as network density and group relations, Zhang Xinggang and Yuan Yi (2011) used the social network analysis tool UCINET to analyze the characteristics of the social network formed by the respondent users in the sample data, such as network density and small groups. The characteristics of the user rela...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06Q50/00
CPCG06F16/9536G06Q50/01
Inventor 庞素琳
Owner GUANGDONG BANACH BIG DATA TECH CO LTD
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