Call-record-data-based potential social network mining method

Abstract

The invention discloses a call-record-data-based potential social network mining method and relates to the technical field of clue investigation. By multilevel analysis of call rules, call abnormality and a condition of one person with multiple numbers, a potential social network can be mined completely on the basis of a dynamic social network, analysis results of the potential social network can be more comprehensive and more accurate, investigative organizations can be assisted to fast narrow an investigation object range, and a reasonable investigation direction is provided. In addition, the method has the advantages that by correctly configuring data extraction and cleaning and conversion rules, manual participation in practical operation can be avoided, a system can automatically realize data acquisition and data analysis, and an operating process is simple, accurate and efficient.

Description

technical field [0001] The invention relates to the technical field of clue detection, in particular to a method for mining a potential social relationship network based on phone bill data. Background technique [0002] After decades of development of mobile communication technology, mobile phones have become an indispensable communication tool in the daily life of the public. During the use of mobile phones, mobile phone bills are generated. Since mobile phones are important communication tools for users, the corresponding The mobile phone call list can also reflect the relationship between the user and the outside world to a certain extent, and because the mobile phone call list analysis has the characteristics of identifying people, timing, positioning, and determining relationships, it has a breakthrough in the initial investigation of clues and interrogations by public security organs and procuratorates. It has a unique role in the pursuit and escape of personnel. Unde...

AI Technical Summary

Problems solved by technology

This method is simple to implement and can quickly build a social relationship map of the owner. However, the social relationship network of the owner based on the two indicators of call frequency and call duration is often not comprehensive enough. relationship network

[0004] However, when the phone owner’s awareness of anti-reconnaissance is relatively high, the characteristics of the call become extremely hidden, and the bill data becomes abnormal. There will be abnormalities in the main social network, which will mislead the direction of investigation

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