DocumentCode
2809225
Title
Social Network Visualization via Domain Ontology
Author
Wu Peng ; Li Sikun
Author_Institution
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5362898
Filename
5362898
Link To Document