An integrated home financial investment learning environment applying cloud computing in social network analysis

Mao Ping Wen*, Hsio Yi Lin, An-Pin Chen, Chyan Yang

*Corresponding author for this work

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper tried to apply cloud computing technology in social network analysis for a comprehensive home financial learning environment that individual investors may use as a reference in establishing web-based learning and investment platforms. The major contributions were described in three parts. First, this paper advanced the social network analysis technology to be able to handle millions of nodes and links. Second, we demonstrate how cloud computing can be applied to advanced computing in social network. Third, we performed several intelligent analyses on a very popular social network, IHFILE, to identify some interesting and important features of it. In addition to analyzing a homogeneous social network such as IHFILE, we also propose direction of how cloud computing can be performed on a social network analysis as our future work.

原文English
主出版物標題Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
頁面751-754
頁數4
DOIs
出版狀態Published - 19 九月 2011
事件2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan
持續時間: 25 七月 201127 七月 2011

出版系列

名字Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Conference

Conference2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
國家Taiwan
城市Kaohsiung
期間25/07/1127/07/11

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