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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Pages751-754
Number of pages4
DOIs
StatePublished - 2011
Event2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan
Duration: 25 Jul 201127 Jul 2011

Publication series

NameProceedings - 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
Country/TerritoryTaiwan
CityKaohsiung
Period25/07/1127/07/11

Keywords

  • Cloud computing
  • Integrated home financial investment learning environment
  • Micro-blogging
  • Social network analysis

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