Title :
Understanding Social Networks Using Formal Concept Analysis
Author :
Snasel, Vaclav ; Horak, Zdenek ; Abraham, Ajith
Author_Institution :
VSB Tech. Univ. Ostrava, Ostrava
Abstract :
Social networks are very popular nowadays and the understanding of their inner structure seems to be a promising area. Several approaches for the social network structure visualization has been introduced and the typical problem is the schematic value of such visualization and the computational complexity of their analysis. This paper proposes a method by using the relation between objects, which is reduced and used as an input to Formal Concept Analysis methods. Our method attempts to deal with both mentioned problems.
Keywords :
computational complexity; data visualisation; social networking (online); computational complexity; formal concept analysis; social network structure visualization; social networks; Computational complexity; Data visualization; Intelligent agent; Intelligent networks; Intelligent structures; Lattices; Matrix decomposition; Quality of service; Singular value decomposition; Social network services; Computability; Formal Concept Analysis; Reduction; Singular Value Decomposition; Social Networks;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.74