26/11 Mumbai Terror Network Communication Data

This dataset represents an adjacency matrix detailing the communication dynamics among members of the terrorist group involved in the 26/11 Mumbai attacks. Sourced from the work of Ze L. et al., it provides valuable insights into the interactions and relationships among 13 identified members, offering a unique perspective on their operational collaboration.

Dataset Overview:

Members: 13 individuals associated with the terrorist group.

Structure: A binary adjacency matrix where each row and column corresponds to a group member. The matrix values indicate communication links: 1 for active communication, 0 for no communication.

Key Features:

Adjacency Matrix: A 13x13 representation of communication relationships within the group.

Binary Encoding: Captures the presence (1) or absence (0) of communication between each pair of members.

Purpose and Applications:

This dataset is designed for researchers and analysts exploring:

Terrorist Network Analysis: Understanding communication patterns and structural properties within the network.

Group Interaction Dynamics: Investigating how members collaborate and coordinate in the context of terrorism.

Network Analysis Algorithms: Testing and developing methods for analyzing and visualizing complex networks.

Citation:

Ze L., et al., “Detecting Key Individuals in Terrorist Network Based on FANP Model,” ASONAM, pp. 724–727, 2014.