Using data mining technology to explore Internet addiction behavioral patterns

Mu Jung Huang, Chin Chun Cheng, Mu Yen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purposes of this study were to explore psychological satisfaction and emotional reaction of Internet users through emotional perspectives and to discuss whether Internet use behaviors would lead to addiction to the Internet. From previous literature and studies, it was found that most studies explored this topic by testing hypotheses. The study used data mining to identify association rules among affective ambivalence, Internet use behavior and Internet addiction. Online and paper questionnaires were distributed for this study. Online questionnaires were put on BBS, Facebook and major forums; paper questionnaires were distributed via convenience sampling. A total of 565 questionnaires were recovered. Among these, 502 copies of the questionnaires were valid, making the effective response rate about 88%. It was found from the affective ambivalence that different use behaviors would result in different affective states. Different individuals would also show different behavior and creativity.

Original languageEnglish
Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014
Subtitle of host publication2014 IEEE International Symposium on Independent Computing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479944774
DOIs
Publication statusPublished - 2015 Jan 15
Event2014 IEEE International Symposium on Independent Computing, ISIC 2014 - Orlando, United States
Duration: 2014 Dec 92014 Dec 12

Publication series

NameIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings

Other

Other2014 IEEE International Symposium on Independent Computing, ISIC 2014
CountryUnited States
CityOrlando
Period14-12-0914-12-12

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Huang, M. J., Cheng, C. C., & Chen, M. Y. (2015). Using data mining technology to explore Internet addiction behavioral patterns. In IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings [7011757] (IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ISIC 2014: 2014 IEEE International Symposium on Independent Computing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDCOMP.2014.7011757