Accession Number : ADA567932


Title :   Modeling Group Interactions via Open Data Sources


Descriptive Note : Final rept. Mar 2008-Aug 2011


Corporate Author : ARIZONA STATE UNIV TEMPE


Personal Author(s) : Liu, Huan ; Wang, Xufei ; Tang, Lei ; Moturu, Sai ; Agarwal, Nitin ; Salerno, John ; Barbier, Geoff


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a567932.pdf


Report Date : 30 Aug 2011


Pagination or Media Count : 7


Abstract : This proposal addresses an emerging challenge of developing a computational understanding of online groups and their interactions. By investigating the interactions between the groups and the social, economical, and physical forces acting on them, this project endeavors to achieve a better understanding of the operational environment by extracting pertinent values from groups of special interests. Online data sources contain massive amounts of data. The state-of-art search engines are designed to help general query-specific search and not suitable for finding disconnected online groups. The scientific and technical merits of the proposed research are demonstrated in (1) formulating novel research problems of searching disconnected online groups, (2) developing innovative mathematical and statistical models and efficient algorithms that leverage existing search engines and employ contextual information and meta data, and (3) conducting interdisciplinary scientific research that enables a new kind of search power and complementary research capabilities.


Descriptors :   *DATA MINING , *ONLINE COMMUNITIES , DATA ACQUISITION , INFORMATION RETRIEVAL , MATHEMATICAL MODELS , PREDICTIONS , SCIENTIFIC RESEARCH , SOCIAL COMMUNICATION


Subject Categories : Information Science
      Sociology and Law
      Computer Systems


Distribution Statement : APPROVED FOR PUBLIC RELEASE