Identification of Pivotal Node in Terrorist Network using TOPSIS Method
Saurabh Singh1, Shashikant Verma2, Akhilesh Tiwari3

1Saurabh Singh, Department of Computer Science Engineering, Jabalpur Engineering College, India.
2Shashikant Verma, Department of Computer Science Engineering, GBPEC Pauri Garwal, India.
3Akhilesh Tiwari, Department of Computer Science & IT, MITS Gwalior, India.

Manuscript received on 01 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 3299-3305 | Volume-8 Issue-9, July 2019 | Retrieval Number: H7096068819/19©BEIESP | DOI: 10.35940/ijitee.H7096.078919

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

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.
Keywords: Terrorist Networks Mining, Social Network Analysis (SNA), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution).

Scope of the Article: Social Network