Analyzing Multi-source Social Data for Extracting and Mining Social Networks
I. Ting, H. Wu, and P. Chang. Computational Science and Engineering, 2009. CSE '09. International Conference on, 4, page 815-820. (August 2009)
DOI: 10.1109/CSE.2009.418
Abstract
In recent years, social computing has become a very popular application in the Internet, and therefore large amount of social (communication) data has been collected in different social computing application. This paper will introduce a methodology to collect and analyze multi-source social, and by this for extracting social networks from the data. A system architecture will also be presented in this paper to show how the data can be collected, pre-processed, analyzed. Furthermore, the system will allow the users to use the data as a resource for personal decision support.
Description
IEEE Xplore Abstract - Analyzing Multi-source Social Data for Extracting and Mining Social Networks
%0 Conference Paper
%1 5283266
%A Ting, I-Hsien
%A Wu, Hui-Ju
%A Chang, Pei-Shan
%B Computational Science and Engineering, 2009. CSE '09. International Conference on
%D 2009
%K heterogeneousnetworks phdproposal socialnetwork
%P 815-820
%R 10.1109/CSE.2009.418
%T Analyzing Multi-source Social Data for Extracting and Mining Social Networks
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5283266&tag=1
%V 4
%X In recent years, social computing has become a very popular application in the Internet, and therefore large amount of social (communication) data has been collected in different social computing application. This paper will introduce a methodology to collect and analyze multi-source social, and by this for extracting social networks from the data. A system architecture will also be presented in this paper to show how the data can be collected, pre-processed, analyzed. Furthermore, the system will allow the users to use the data as a resource for personal decision support.
@inproceedings{5283266,
abstract = {In recent years, social computing has become a very popular application in the Internet, and therefore large amount of social (communication) data has been collected in different social computing application. This paper will introduce a methodology to collect and analyze multi-source social, and by this for extracting social networks from the data. A system architecture will also be presented in this paper to show how the data can be collected, pre-processed, analyzed. Furthermore, the system will allow the users to use the data as a resource for personal decision support.},
added-at = {2014-12-25T21:51:18.000+0100},
author = {Ting, I-Hsien and Wu, Hui-Ju and Chang, Pei-Shan},
biburl = {https://www.bibsonomy.org/bibtex/287c25c5f149485d4e309a342e768d468/asmelash},
booktitle = {Computational Science and Engineering, 2009. CSE '09. International Conference on},
description = {IEEE Xplore Abstract - Analyzing Multi-source Social Data for Extracting and Mining Social Networks},
doi = {10.1109/CSE.2009.418},
interhash = {69593f36d5f3bb2e1e81c7f530acb42a},
intrahash = {87c25c5f149485d4e309a342e768d468},
keywords = {heterogeneousnetworks phdproposal socialnetwork},
month = aug,
pages = {815-820},
timestamp = {2014-12-25T21:51:18.000+0100},
title = {Analyzing Multi-source Social Data for Extracting and Mining Social Networks},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5283266&tag=1},
volume = 4,
year = 2009
}