Open AccessAn Innovative Approach for Identification of Pivotal node in Terrorist Network using TOPSIS Method (An Anti-Terrorism approach)
Author(s) -
Sarva Daman Singh,
Shashikant Verma,
Akhilesh Tiwari
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h7096.078919
Subject(s) - topsis , law enforcement , computer science , graph , ideal solution , tree traversal , similarity (geometry) , terrorism , graph theory , data mining , node (physics) , operations research , theoretical computer science , artificial intelligence , mathematics , algorithm , engineering , law , physics , structural engineering , combinatorics , political science , image (mathematics) , thermodynamics
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.