Hsinchun Chen

Nasrullah Memon

David L. Hicks

Jennifer Jie Xu

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.

Data Mining for Social Network Data

This volume contains the ?nal proceedings of the MetaInformatics Symposium 2003 (MIS 2003). The event was held September 17–20 on the campus of the Graz University of Technology in Graz, Austria. As with previous events in the MIS series, MIS 2003 brought together - searchers and practitioners from a wide variety of ?elds to discuss a broad range of topics and ideas related to the ?eld of computer science. The contributions that were accepted to and presented at the symposium are of a wide variety. Theyrangefromtheoreticalconsiderationsofimportantmetainformatics-related questions and issues to practical descriptions of approaches and systems that - fer assistance in their resolution. I hope you will ?nd the papers contained in this volume as interesting as the other members of the program committee and Ihave. These proceedings would not have been possible without the help and ass- tance of many people. In particular I would like to acknowledge the assistance of Springer-Verlag in Heidelberg, Germany, especially Anna Kramer, the computer science editor, and Alfred Hofmann, the executive editor for the LNCS series.

International Symposium, MIS 2003, Graz, Austria, September 17-20, 2003, Revised Papers

Metainformatics

Jonathan David Farley

Torben Rosenorn

Terrorism is one of the serious threats to international peace and security that we face in this decade. No nation can consider itself immune from the dangers it poses, and no society can remain disengaged from the efforts to combat it. The termcounterterrorism refers to the techniques, strategies, and tactics used in the ?ght against terrorism. Counterterrorism efforts involve many segments of so- ety, especially governmental agencies including the police, military, and intelligence agencies (both domestic and international). The goal of counterterrorism efforts is to not only detect and prevent potential future acts but also to assist in the response to events that have already occurred. A terrorist cell usually forms very quietly and then grows in a pattern – sp- ning international borders, oceans, and hemispheres. Surprising to many, an eff- tive “weapon”, just as quiet – mathematics – can serve as a powerful tool to combat terrorism, providing the ability to connect the dots and reveal the organizational pattern of something so sinister. The events of 9/11 instantly changed perceptions of the wordsterrorist andn- work, especially in the United States. The international community was confronted with the need to tackle a threat which was not con?ned to a discreet physical - cation. This is a particular challenge to the standard instruments for projecting the legal authority of states and their power to uphold public safety. As demonstrated by the events of the 9/11 attack, we know that terrorist attacks can happen anywhere.

David L. Hicks

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