Solution to gang crime based on Graph Theory and Analytical Hierarchy Process

Yulong Gao; Yuanqing Xia; Suichao Wu; Jianan Qiao

doi:10.1016/j.neucom.2014.02.041

Solution to gang crime based on Graph Theory and Analytical Hierarchy Process

Yulong Gao, Yuanqing Xia^*, Suichao Wu, Jianan Qiao

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

This paper considers the solution to gang crime combined Analytical Hierarchy Process with Graph Theory. The main purpose is to identify the conspirators and make a priority list based on the given message traffic in a certain crime case. To identify one person, we firstly quantify the topics through Analytic Hierarchy Process, then establish the network model based on Graph Theory and finally conclude the relative relevance from this person to the known conspirators and non-conspirators. The flexibility of the model is illustrated and the results show that the method is effective.

Original language	English
Pages (from-to)	121-127
Number of pages	7
Journal	Neurocomputing
Volume	140
DOIs	https://doi.org/10.1016/j.neucom.2014.02.041
Publication status	Published - 22 Sept 2014

Keywords

AHP
Gang crime
Graph Theory
Network
Semantic analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.neucom.2014.02.041

Cite this

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title = "Solution to gang crime based on Graph Theory and Analytical Hierarchy Process",

abstract = "This paper considers the solution to gang crime combined Analytical Hierarchy Process with Graph Theory. The main purpose is to identify the conspirators and make a priority list based on the given message traffic in a certain crime case. To identify one person, we firstly quantify the topics through Analytic Hierarchy Process, then establish the network model based on Graph Theory and finally conclude the relative relevance from this person to the known conspirators and non-conspirators. The flexibility of the model is illustrated and the results show that the method is effective.",

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AU - Gao, Yulong

AU - Xia, Yuanqing

AU - Wu, Suichao

AU - Qiao, Jianan

PY - 2014/9/22

Y1 - 2014/9/22

N2 - This paper considers the solution to gang crime combined Analytical Hierarchy Process with Graph Theory. The main purpose is to identify the conspirators and make a priority list based on the given message traffic in a certain crime case. To identify one person, we firstly quantify the topics through Analytic Hierarchy Process, then establish the network model based on Graph Theory and finally conclude the relative relevance from this person to the known conspirators and non-conspirators. The flexibility of the model is illustrated and the results show that the method is effective.

AB - This paper considers the solution to gang crime combined Analytical Hierarchy Process with Graph Theory. The main purpose is to identify the conspirators and make a priority list based on the given message traffic in a certain crime case. To identify one person, we firstly quantify the topics through Analytic Hierarchy Process, then establish the network model based on Graph Theory and finally conclude the relative relevance from this person to the known conspirators and non-conspirators. The flexibility of the model is illustrated and the results show that the method is effective.

KW - AHP

KW - Gang crime

KW - Graph Theory

KW - Network

KW - Semantic analysis

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VL - 140

SP - 121

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JO - Neurocomputing

JF - Neurocomputing

ER -

Solution to gang crime based on Graph Theory and Analytical Hierarchy Process

Abstract

Keywords

UN SDGs

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