Title :
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
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;
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
DOI :
10.1109/ASONAM.2010.47
