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App analytic: A study on correlation analysis of app ranking data

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dc.contributor.authorIhm S.-Y.-
dc.contributor.authorLoh W.-K.-
dc.contributor.authorPark Y.-H.-
dc.date.available2021-02-22T10:57:27Z-
dc.date.issued2013-09-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/6521-
dc.description.abstractIn recent years, app store and android market have experienced a significant growth in terms of app numbers. Since we discover 85% of apps through the ranks, it is important to develop effective app ranking analyzing tools. In this paper, we present a method called App Analytic. In our method, we explore correlations of app ranking data about popular social networking sites. Specifically, we analyze correlations between various characteristics of social networking sites on Internet and android market. The results of correlation analysis reveal that there is a strong positive correlation of the number of app downloads with the number of registered users and page rank. We also provide an in-depth analysis on the major factors that impact the correlations. © 2013 IEEE.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleApp analytic: A study on correlation analysis of app ranking data-
dc.typeArticle-
dc.identifier.doi10.1109/CGC.2013.95-
dc.identifier.scopusid2-s2.0-84893269545-
dc.identifier.bibliographicCitation2013 International Conference on Cloud and Green Computing, v.2013-DEC, pp 561 - 563-
dc.citation.title2013 International Conference on Cloud and Green Computing-
dc.citation.volume2013-DEC-
dc.citation.startPage561-
dc.citation.endPage563-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAndroid markets-
dc.subject.keywordPlusApp ranking data-
dc.subject.keywordPlusCorrelation analysis-
dc.subject.keywordPlusIn-depth analysis-
dc.subject.keywordPlusMajor factors-
dc.subject.keywordPlusPositive correlations-
dc.subject.keywordPlusSocial networking sites-
dc.subject.keywordPlusStatistical software-
dc.subject.keywordPlusCommerce-
dc.subject.keywordPlusCorrelation methods-
dc.subject.keywordPlusRobots-
dc.subject.keywordPlusSocial networking (online)-
dc.subject.keywordPlusApplication programs-
dc.subject.keywordAuthorApp ranking data-
dc.subject.keywordAuthorCorrelation analysis-
dc.subject.keywordAuthorR statistical software-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6686087-
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