Title :
Social Network Visualization via Domain Ontology
Author :
Wu Peng ; Li Sikun
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Social network analysis and visualization is an active area of study but good organizations of social network information are lacking. This paper proposes a domain ontology model focusing on social network information, which abstracts the impersonal existences in social network information domain into some primary ontologies. According to the requirements of social network structure analysis, we propose a Subgroup Analysis Layout (SAL) algorithm based on domain ontology model. SAL algorithm analyzes the subgroups through the analysis of roles and key attributes. Then the results of subgroup analysis are used to improve the force directed layout algorithm in analyzing and visualizing the structure of social network. Results with the case of terrorist information demonstrate its advantages.
Keywords :
data visualisation; ontologies (artificial intelligence); social networking (online); domain ontology; social network analysis; social network visualization; subgroup analysis layout algorithm; terrorist information visualization; Abstracts; Acceleration; Algorithm design and analysis; Clustering algorithms; Computer networks; Data visualization; Information analysis; Ontologies; Social network services; Surface fitting;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5362898