Author :
Leonard, Livadaru
Abstract :
In this article, I describe the tools and techniques used to generate competing hypotheses for the VAST 2009 Flitter mini challenge. I will describe how I approached solving the social networks and the importance of the geospatial relationships to determine that ldquoSocial Structure Form Ardquo was the best matching social network.
Keywords :
social networking (online); EAKOS; VAST 2009 Flitter mini challenge award; competing hypothesis; geospatial relationships; social networks; Cities and towns; Data visualization; Information analysis; Information systems; Intrusion detection; Social network services; Visual analytics; Web services; Visual analytics; geovisualization; information visualization; investigative analysis;
Conference_Titel :
Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
978-1-4244-5283-5
DOI :
10.1109/VAST.2009.5333967
