I. INTRODUCTION
A terrorist network is a special kind of social network with emphasis on both secrecy and efficiency. Such networks are intentionally structured to ensure efficient communication between members without being detected [1], [2], [3]. Knowledge about the structure and organization of terrorist networks is important for both terrorism investigation and the development of effective strategies to prevent terrorist attacks. Theory from the knowledge management field plays an important role in dealing with terrorist information. Knowledge management processes, tools, and techniques can help intelligence analysts in various ways when trying to make sense of the vast amount of data being collected in relation to terrorism [4]. The collected data needs to be analyzed and visualized in order to gain a deeper understanding of the terrorist network. A terrorist network can be modeled as a generalized
network (graph) consisting of nodes and links. Nodes are entities (people, places, events, etc.) with attributes allowing relevant information to be stored about the entities. Links are relationships between the entities. Links have attributes that describe properties about the relationships. Techniques from social network analysis (SNA) and graph theory [5] can be used to identify key nodes in the network, which is helpful for network destabilization purposes [6]. Taking out key nodes will decrease the ability of the terrorist network to function normally.