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Review: "Annals of Information Systems comprises serialized volumes that address a specialized topic or a theme, AOIS publishes peer reviewed works in the analytical, technical as well as the organizational side of information systems. The numbered volumes are guest-edited by experts in a specific domain. AOIS volumes are available as individual books as well as a serialized collection."--Jacket

From Sociology to Computing in Social Networks provides an analysis of social networking and the emerging trends in data mining. Topics include social network modeling, customizable social network infrastructure construction, dynamic growth and evolution patterns identification, and more.

The present work presents the most current research from mathematicians and computer scientists from around the world to develop strategies for counterterrorism and homeland security to the broader public. New mathematical and computational technique concepts are applied to counterterrorism and computer security problems. Topics covered include strategies for disrupting terrorist cells, border penetration and security, terrorist cell formation and growth, data analysis of terrorist activity, terrorism deterrence strategies, information security, emergency response and planning. Since 2001, tremendous amounts of information have been gathered regarding terrorist cells and individuals potentially planning future attacks. This book addresses this need to develop new countermeasures. Interested readers include researchers, policy makers, politicians, and the members of intelligence and law enforcement agencies.

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics, Medical Informatics, Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.