Geo-social tracking system for detecting unusual behavior: Visualization of social activities based on spatiotemporal change

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 225
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorSeo, Seung Hyunko
dc.contributor.authorChung, Chulko
dc.date.accessioned2016-04-05T15:30:59Z-
dc.date.available2016-04-05T15:30:59Z-
dc.date.created2014-07-10-
dc.date.created2014-07-10-
dc.date.issued2013-08-
dc.identifier.citationInternational Journal of Control and Automation, v.6, no.4, pp.483 - 498-
dc.identifier.issn2005-4297-
dc.identifier.urihttp://hdl.handle.net/10203/202773-
dc.description.abstractThis paper examines the use of geographical tracking system as a method of detecting juvenile behaviors, while providing an extension to existing a mobile service which has about 30000 users in Korea. The degree of juvenile behaviors has gotten more severe recently with the invention and proliferation of smart phones; they are easily exposed to harmful contents using smart phones. However, we could solve this problem by detecting unusual behaviors, because people exhibit certain behaviors when using devices and contents. In Mobile, since social media is one of the most popular services, we chose it as the research target. In addition, we propose both data visualization and geo-social tracking system for user profiling to examine the underlying meanings of individuals' activities at the social media with spatiotemporal information. With social media becoming more 'geographical', many social networks, including Facebook, provide location based services to assist users' daily lives. In experimental results, we show our visualization methods and weight functions for plotting on the map. Moreover, at the end of this work, we propose how our work could be integrated as an add-on to existing services. Lastly, we discuss our data visualization methods and the constraints we encountered during information gathering. Experimental results in this research are going to contribute to other researches attempting to profile individuals on mobile phones.-
dc.languageEnglish-
dc.publisherScience and Engineering Research Support Society-
dc.titleGeo-social tracking system for detecting unusual behavior: Visualization of social activities based on spatiotemporal change-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-84886703313-
dc.type.rimsART-
dc.citation.volume6-
dc.citation.issue4-
dc.citation.beginningpage483-
dc.citation.endingpage498-
dc.citation.publicationnameInternational Journal of Control and Automation-
dc.contributor.nonIdAuthorSeo, Seung Hyun-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorGeo-tagging-
dc.subject.keywordAuthorMobile-
dc.subject.keywordAuthorSocial media-
dc.subject.keywordAuthorUser profiling-
Appears in Collection
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0