Social Networking Analysis: A State of the Art and the Effect of Semantics

Author

Chelmis, Charalampos ; Prasanna, Viktor K.

Author_Institution

Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA

fYear

2011

fDate

9-11 Oct. 2011

Firstpage

531

Lastpage

536

Abstract

This paper presents a comprehensive study of the state of the art in Social Networking Analysis and examines the impact of content analysis and the effects of semantics in social networking analysis research. We propose a taxonomy of current approaches, classifying them into the following main categories: 1) graph-theoretic approaches, 2) applications of semantic web technologies and emergent semantics modelling, and 3) data mining and analytics. The purpose is to increase awareness of the social networking analysis community about different ongoing efforts, which not only focus on the network aspect of social networks, shed some light into different approaches and advance the discussion about potential future directions.

Keywords

content management; data analysis; data mining; graph theory; semantic Web; social networking (online); content analysis; data analysis; data mining; graph theory; semantic Web; social networking analysis; Analytical models; Communities; Data mining; Semantic Web; Semantics; Social network services; Tagging; Graph Theory; Semantic Web; Social Network Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on

Conference_Location

Boston, MA

Print_ISBN

978-1-4577-1931-8

Type

conf

DOI

10.1109/PASSAT/SocialCom.2011.23

Filename

6113162