Abstract
Google is one of the key players in the mobile market. With the power of its operating system, namely called as Android, many mobile phone producers were started to install their products to serve mobile device market customers. One of the key embedded applications in the Google’s Android operating system could be presented as the Play Store. Play Store is an application for the end users of the mobile devices that gives opportunities to other application from its rich application content. With a customer’s Google account, millions of applications are ready to download to these mobile devices. In the Play Store, these applications are categorized under twenty-eight different categorizes based on a simple tagging mechanism. In each category, applications are listed in three top lists, Top Paid list for the applications with the price tags; Top Free applications without price tags, and Top Grossing to support application’s run time payment mechanism. Based on the county of origin of the customer’s Google Accounts, the market application content is changing. In this study, the main purpose is to see the connection between Top 10 rankings changes based on external stimuluses such as starting of education semester in the schools and universities, migrant’s actions, exams that are coordinated by higher education authorizes etc… in a specific county application market. In this study with using an Android based cell phone the monthly changes in these top lists have been investigated by looking at only these top 10 lists of each category. The changes in these top 10 applications discussed with looking the possible environmental factor changes. This study is focused on the Turkish market in the period of July 2015 and November 2015. To be able to measure the changes, two ratios, Keeping Positions Ratio (KPR), and New Applications Ratio (NAR) were defined. This four-month period results presented and based on the most dynamic categories, the changes in the applications were discussed and presented. Keywords: Application Market, Google Play Store, Top 10 Applications
Highlights
Top list based studies have implemented in many of the study domains
The Top Price subcategory was tagged as Google Top Price (GTP), the Top Free sub-category was tagged as Google Top Free (GTP) and the Top Grossing sub-category was tagged as Google Top Grossing (GTG) for collecting data from the referred interface
The Keeping Positions Ratio (KPR) values are given under GTP, GTF and GTG subcategories
Summary
Top list based studies have implemented in many of the study domains. By surveying in Thomson Reuter’s Web of Science for the current literature currently in different domains, ranking based studies on the mobile http://ijasos.ocerintjournals.org 174was already applied in agriculture (Crookston,2006), educational learning (Pilar et al.,2013), medicine (Knight et al, 2015), local government (Walravens, 2015) , technology oriented trends (Kaur, 2013), economy (Ghose & Han,2014). In Lili, by looking at the top lists of the applications, factors affecting the mobile applications download rated were studied Mobile devices such as smart phones and tablets are important tools with the capability of being online 7/24 if there is a proper Internet connection. Even the accessibility of these markets basically defined by the currently owned devices by the end users, there are different application markets for the users of the mobile devices In spite of this factor, to be able to show this indicator, first of all, the application market needs to be decided by looking at the related statistical data. From this perspective, in this study the current digital application market selection will be discussed after this introduction part. At the end of this study, the conclusion and future of the study will be discussed
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