An Innovative Approach for Identification of Pivotal node in Terrorist Network using TOPSIS Method (An Anti-Terrorism approach)

  • et al.
N/ACitations
Citations of this article
N/AReaders
Mendeley users who have this article in their library.
Get full text

Abstract

Terrorist network analysis is a crucial topic of research nowadays. It helps law enforcement agencies to find the clear picture of crime in the early investigation. Several domains of computer science are useful for this research like graph traversal, graph optimization and multi criteria decision making In this paper one of the multi criteria decision making (MCDM) algorithm TOPSIS (technique for order preference by similarity to ideal solution) is used to find principal node in the graph. Its ease of use characteristic, make it fast and useful for all related analysis. We examine the 26/11 Mumbai attack terrorist network dataset using TOPSIS method. TOPSIS is found good method to analyze such type of problems.

Cite

CITATION STYLE

APA

Singh, S., Verma, S., & Tiwari, A. (2019). An Innovative Approach for Identification of Pivotal node in Terrorist Network using TOPSIS Method (An Anti-Terrorism approach). International Journal of Innovative Technology and Exploring Engineering, 8(9), 3299–3305. https://doi.org/10.35940/ijitee.h7096.078919

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free