An Integrated Home Financial Investment Learning Environment Applying Cloud Computing in Social Network Analysis

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....

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Bibliographic Details
Published in2011 International Conference on Advances in Social Networks Analysis and Mining pp. 751 - 754
Main Authors Mao-Ping Wen, Hsio-Yi Lin, An-Pin Chen, Chyan Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Cloud computing
Education
Industries
Integrated home financial investment learning environment
Investments
Micro-blogging
Social network analysis
Social network services
Software
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Summary: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.
ISBN:9781612847580
1612847587
DOI:10.1109/ASONAM.2011.97