By Douglas Yeung, John Lowrance (auth.), Sharad Mehrotra, Daniel D. Zeng, Hsinchun Chen, Bhavani Thuraisingham, Fei-Yue Wang (eds.)
In the prior few years, intelligence and safety informatics (ISI) study, that is serious about the research of the improvement and use of complicated details te- nologies and structures for nationwide and overseas security-related functions, has skilled great progress and attracted great curiosity from educational - searchers in comparable fields in addition to practitioners from either executive organizations and undefined. The ISI group is maturing, and a center set of study methodologies and technical techniques has emerged and is changing into the underpinning of ISI learn. the 1st conferences (ISI 2003 and ISI 2004) within the ISI symposium and conf- ence sequence have been held in Tucson, Arizona. With sponsorship through the IEEE clever Transportation platforms Society, ISI 2005 used to be held in Atlanta, Georgia. development at the momentum of those ISI conferences, we held ISI 2006 in San Diego, California, in may perhaps 2006. as well as the validated and rising ISI technical examine subject matters, ISI 2006 integrated a tune on terrorism informatics, that's a brand new circulate of terrorism examine leveraging the most recent advances in social technological know-how methodologies, and infor- tion applied sciences and tools.
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Extra info for Intelligence and Security Informatics: IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, USA, May 23-24, 2006. Proceedings
Fig. 1. E. Asian countries following the 2004 Tsunami 28 C. Best et al. The alert system keeps hourly statistics of the number of articles detected for each Alert in the system. This is stored in XML files accessible on the web server. One file is stored every day containing the hourly values and taken together form long term time series of event statistics. As major events occur – so their development is recorded in the statistics files. As an example Figure 1 shows the number of articles per day for different countries following the Asian Tsunami as recorded by EMM’s alert system.
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The basic intuitions of the algorithm are (1) associates of interesting people become relatively more interesting and (2) both a person’s past activity and their involvement in interesting association patterns establish initial importance. The algorithm considers two key network elements in its calculation (1) association closeness and (2) importance evaluation. The calculation leverages association closeness measures as suggested by , scalar coefficients as in , and leverages a path-based notion of interestingness reminiscent of the methodology used in .