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Link suggestions in terrorists networks using Semi Discrete Decomposition

Recently several terrorist acts have created disruptions in the airline industries, tourism as well as the financial markets. It is believed just like the World War II had accelerated the development of nuclear energy, the longer-term impact of the current war on terrorism could lead to the allocation of major resources (manpower, funding etc.) towards dealing with this. In this paper, we present a social network concept to visualize a terrorist network. Visualization is very important part for analyzing a network since it can quickly provide good insight into the network structure, major members, and their properties. We used a matrix factorization methods called Semi Discrete Decomposition, which is highly suitable for dealing with huge networks. Empirical results using the 9–11 network data illustrate the efficiency of the proposed approach.