On utilising social networks to discover representatives of human communities. (15th January 2008)

• Record Type: Journal Article
• Authors: Kazienko, Przemysław; Musial, Katarzyna
• Is Part Of: International journal of intelligent information and database systems. Volume 1:Number 3/4(2007)
• Page Start: 293
• Page End: 310
• Publication Date: 2008-01-15
• Subjects: human communities -- social networks -- group representatives -- social groups -- human filtering -- single members -- social position -- virtual communities -- web based communities -- representative discovery -- target group selection; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

Virtual human communities that exist on the internet reflect social relationships between people. There is a great need to find important individuals, a set of people who would represent larger communities. These people would be able to perform specific tasks or could become a target group for marketing or advertising purposes. The new research on representative discovery for human communities is presented in this paper. Its main goal is to improve the process of target group selection by adding the social elements derived from the behaviours of people. The entire selection process considered in the paper is called human filtering.