A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
Fractal views: a fractal-based method for controlling information display
ACM Transactions on Information Systems (TOIS)
Hyperlink Analysis for the Web
IEEE Internet Computing
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
MGV: A System for Visualizing Massive Multidigraphs
IEEE Transactions on Visualization and Computer Graphics
Visualization of large category map for internet browsing
Decision Support Systems - Web retrieval and mining
Understanding Terror Networks
Topological Fisheye Views for Visualizing Large Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
CrimeNet explorer: a framework for criminal network knowledge discovery
ACM Transactions on Information Systems (TOIS)
Criminal network analysis and visualization
Communications of the ACM - 3d hard copy
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Visualization of the citation impact environments of scientific journals: An online mapping exercise
Journal of the American Society for Information Science and Technology
International Journal of Human-Computer Studies
Visualization of large networks with min-cut plots, A-plots and R-MAT
International Journal of Human-Computer Studies
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Visualization of the Nordic academic web: Link analysis using social network tools
Information Processing and Management: an International Journal
A new variant of the Pathfinder algorithm to generate large visual science maps in cubic time
Information Processing and Management: an International Journal
Social networks, gender, and friending: An analysis of MySpace member profiles
Journal of the American Society for Information Science and Technology
Social networks integration and privacy preservation using subgraph generalization
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Classifying ecommerce information sharing behaviour by youths on social networking sites
Journal of Information Science
Mining typical features for highly cited papers
Scientometrics
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Social network visualization has drawn significant attention over recent years. It creates images of social networks that provide investigators with new insights about network structures and helps them to communicate those insights to others. Visualization facilitates the social network analysis. It supports the investigators to discover patterns of interactions among the social actors including detecting subgroups, identifying central actors and their roles, and discovering patterns of interactions among social actors. However, visualizing a large heterogeneous social network has several challenges. The large size of networks, complex relations among social actors and limited number of available pixels on a screen make it difficult to present important information clearly to investigators and hence reduce the capability of investigators to explore the networks. In this work, we propose the fractal views to construct a visual abstraction of a large and complex social network with users selected social actors as focuses. The fractal views are focus and context visualization techniques using an information reduction approach. It controls the amount of information displayed by focusing on the syntactic structure of information. It is useful in discovering knowledge from terrorist social networks for combating the war on terrorism. Such application has formed an important research topic, known as intelligence and security informatics, in recent years due to the terrorist attacks of September 11 2001 (9/11) and several other terror attacks that have occurred within the last decade. We present several case studies to demonstrate the capability of the proposed technique on analyzing the Global Salafi Jihad terrorist social network. It extracts the hidden relationships among terrorists through user interactions. In addition, we have conducted a user evaluation to assess the efficiency and effectiveness of fractal views. It shows that fractal views outperform fisheye views and zoom-in windows to support users in visualizing and analyzing terrorist social networks.