A Dynamic and Task-Oriented Social Network Extraction System Based on Analyzing Personal Social Data

Author

Wang, Kai-Yu ; Ting, I-Hsien ; Wu, Hui-Ju ; Chang, Pei-Shan

Author_Institution

Dept. of Marketing, Int. Bus. & Strategy, Brock Univ., St. Catharines, ON, Canada

fYear

2010

fDate

9-11 Aug. 2010

Firstpage

464

Lastpage

469

Abstract

Large amount of social (communication) data have been generated in many applications for personal communication purpose. However, these data have not been used well currently. In this paper, we will introduce a methodology to collect and analyze those personal data, and by this for extracting social networks from the data. A system architecture will also be presented and implemented to show how the data can be collected, pre-processed, analyzed, which can also be used for personal decision support.

Keywords

data analysis; information retrieval; object-oriented methods; social networking (online); software architecture; data analysis; social network; system architecture; task-oriented extraction system; Construction industry; Data mining; Data visualization; Electronic mail; Engines; History; Social network services; E-mail; Instant Messenger; Social Network Analysis; Social Networking; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on

Conference_Location

Odense

Print_ISBN

978-1-4244-7787-6

Electronic_ISBN

978-0-7695-4138-9

Type

conf

DOI

10.1109/ASONAM.2010.47

Filename

5563057