ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS

Çağrı Şahin

doi:10.31796/ogummf.1831167

TR EN

MOBİL UYGULAMA EKOSİSTEMİNİN FARKLI BÖLGELER AÇISINDAN ANALİZİ

Öz

Mobil uygulamalar, insanların iletişim kurma, çalışma ve eğlenme biçimlerini etkileyerek günlük yaşamın vazgeçilmez bir parçası haline gelmiş ve farklı platformlarda milyonlarca uygulama kullanıcıların erişimine sunulmuştur. Uygulama başarısının temel göstergelerinden biri olan kullanıcı geri bildirimleri, puanlar ve yorumlar uygulama indirme kararlarını ve genel kullanıcı tercihlerini şekillendirmektedir. Uygulama puanları, kültürel, dilsel ve coğrafi faktörler nedeniyle ülkeler arasında farklılık gösterebilmekte, bu durum uygulamaların ilgi düzeyini ve kullanabilirliğini anlamada yerel içgörüleri önemli hale getirmektedir. Buna ek olarak, uygulama popülerliğinin farklı faktörlerden etkilenmesi, kullanıcı etkileşimi ve memnuniyetini daha iyi anlayabilmek için ülkeler arası karşılaştırmalı analizlerin gerekliliğini ortaya koymaktadır. Buna rağmen, mevcut çalışmaların büyük kısmı sınırlı veri setlerine veya tek bir ülkeye odaklanmakta, ülkeler ve uygulama ekosistemleri arasında geniş ölçekli karşılaştırmalı analiz eksikliği bulunmaktadır. Bu çalışma, 86 Play Store uygulama mağazası bölgesindeki 1521 seçilmiş mobil uygulamanın popülerliği, kullanıcı etkileşimi ve puan tutarlılığını analiz ederek global uygulama kullanımı ve etkileşimleri hakkında ayrıntılı bilgiler sunmaktadır. Araştırma, kullanıcı etkileşimi ve memnuniyet örüntülerini belirlemek amacıyla uygulamaların toplam puanlarını, toplam yorum sayısını ve yorum-puan oranlarını incelemekte, ayrıca ülkeler arasındaki puan tutarlılığını ve tercih benzerliklerini değerlendirmektedir. Ek olarak, popüler uygulamaların gelir elde etme stratejilerini ve farklı kategorilerin uygulama popülerliği üzerindeki etkilerini incelemekte, Play Store ve App Store arasındaki kullanıcı puanlarını karşılaştırarak platforma özgü dinamikler ve geri bildirim farklılıklarını ortaya koymaktadır.

Anahtar Kelimeler

mobil uygulamalar, kullanıcı etkileşimi, bölgesel farklılıklar, uygulama puanları

ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS

Öz

Mobile applications have become essential in daily life, influencing how people communicate, work, and entertain themselves, with millions of apps available on platforms. User feedback through ratings and reviews serves as a key measure of app success, shaping download decisions and overall user preferences. App ratings often vary across countries due to cultural, linguistic, and geographic factors, making localized insights crucial for understanding relevance and usability. Moreover, multiple determinants contribute to app popularity, underscoring the importance of conducting comprehensive cross-country analyses to better understand user engagement and satisfaction. However, despite this importance, prior studies are mostly based on limited or single-country data and lack large-scale comparative analyses across countries and app ecosystems. This study analyzes the popularity, user engagement, and rating consistency of 1521 selected mobile applications across 86 Play Store regions to provide detailed insights into global app usage and interaction patterns. The research examines total ratings, total reviews, and review-to-rating ratios to identify patterns of user engagement and satisfaction, while also assessing rating consistency and preference similarities across countries. It further examines the monetization strategies of popular apps and their influence on app popularity across various categories, while also comparing user ratings between the Play Store and App Store to reveal platform-specific dynamics and feedback variations.

Anahtar Kelimeler

mobile applications, user interaction, regional differences, app ratings

Kaynakça

Ahmad, W., Kim, W., Choi, H., & Haq, J. (2021). Modeling behavioral intention to use travel reservation apps: A cross-cultural examination between US and China. Journal of Retailing and Consumer Services, 63, 102689. https://doi.org/10.1016/j.jretconser.2021.102689
Al-Subaihin, A. A., Sarro, F., Black, S., Capra, L., & Harman, M. (2021). App store effects on software engineering practices. IEEE Transactions on Software Engineering, 47(2), 300–319. https://doi.org/10.1109/TSE.2019.2891715
Alchemer (2022). Mobile app ratings and reviews: Where to start and how to win. Retrieved 10.12.2023, from https://www.alchemer.com/resources/blog/mobile-app-ratings-and-reviews/
Ali, M., Joorabchi, M. E., & Mesbah, A. (2017). Same app, different app stores: A comparative study. 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft), 79–90. https://doi.org/10.1109/MOBILESoft.2017.3
Altman, D. G. (1990). Practical statistics for medical research. Chapman and Hall/CRC. https://doi.org/10.1201/9780429258589
AndroidRank (2025). Android market data, history, rankings. Retrieved 09.01.2025, from https://www.androidrank.org/
Chang, K. C., Zaeem, R. N., & Barber, K. S. (2020). A framework for estimating privacy risk scores of mobile apps. In W. Susilo, R. H. Deng, F. Guo, Y. Li, & R. Intan (Eds.), Information security (ISC 2020) (Lecture Notes in Computer Science, Vol. 12472). Springer. https://doi.org/10.1007/978-3-030-62974-8_13
Chen, N., Lin, J., Hoi, S. C. H., Xiao, X., & Zhang, B. (2014). AR-miner: Mining informative reviews for developers from mobile app marketplace. In Proceedings of the 36th International Conference on Software Engineering (pp. 767–778). Association for Computing Machinery. https://doi.org/10.1145/2568225.2568263
Dabrowski, J., Letier, E., Perini, A., & Susi, A. (2022). Analysing app reviews for software engineering: A systematic literature review. Empirical Software Engineering, 27(2), Article 43. https://doi.org/10.1007/s10664-021-10065-7
De Lima, V. M. A., & Marcacini, R. M. (2024). Opinion mining for app reviews: Identifying and prioritizing emerging issues for software maintenance and evolution. In Proceedings of the XXIII Brazilian Symposium on Software Quality (pp. 687–696). Association for Computing Machinery. https://doi.org/10.1145/3701625.3701700

Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). SAGE Publications.
Gao, C., Zeng, J., Lyu, M. R., & King, I. (2018). Online app review analysis for identifying emerging issues. In Proceedings of the 40th International Conference on Software Engineering (pp. 48–58). Association for Computing Machinery. https://doi.org/10.1145/3180155.3180218
Gao, J., & Dube, A. K. (2024). Comparison of learning experience among informal learning apps. In ICERI2024 Proceedings: 17th Annual International Conference of Education, Research and Innovation (pp. 337–341). IATED. https://doi.org/10.21125/iceri.2024.0173
Guo, Z., Rau, P. L. P., & Heimgärtner, R. (2022). The "onion model of human factors": A theoretical framework for cross-cultural design. In P. L. P. Rau (Ed.), Cross-Cultural Design. Interaction Design Across Cultures (pp. 20–33). Springer Cham. https://doi.org/10.1007/978-3-031-05434-1_2
Gupta, S., Pansari, A., & Kumar, V. (2018). Global customer engagement. Journal of International Marketing, 26(1), 4–29. https://doi.org/10.1509/jim.17.0091
Guzman, E., Oliveira, L., Steiner, Y., Wagner, L. C., & Glinz, M. (2018). User feedback in the app store: A cross-cultural study. In Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Society (pp. 13–22). Association for Computing Machinery. https://doi.org/10.1145/3183428.3183436
Hu, H., Wang, S., Bezemer, C.-P., & Hassan, A. E. (2019). Studying the consistency of star ratings and reviews of popular free hybrid Android and iOS apps. Empirical Software Engineering, 24(1), 7–32. https://doi.org/10.1007/s10664-018-9617-6
Hyndman, R. J., & Fan, Y. (1996). Sample quantiles in statistical packages. The American Statistician, 50(4), 361–365. https://doi.org/10.1080/00031305.1996.10473566
Iacob, C., Veerappa, V., & Harrison, R. (2013). What are you complaining about? A study of online reviews of mobile applications. Proceedings of the 27th International BCS Human Computer Interaction Conference, Article 29, 1–6.
Lim, S. L., Bentley, P. J., Kanakam, N., Ishikawa, F., & Honiden, S. (2015). Investigating country differences in mobile app user behavior and challenges for software engineering. IEEE Transactions on Software Engineering, 41(1), 40–64. https://doi.org/10.1109/TSE.2014.2360674
Liptrot, E., Pearson, H. A., Montazami, A., & Dubé, A. K. (2024). Why this app? How user ratings and app store rankings impact educators' selection of educational apps. Computers & Education, 218, Article 105080. https://doi.org/10.1016/j.compedu.2024.105080
Liu, X., Li, W., Hou, Q., Yang, S., Ying, L., Diao, W., … Duan, H. (2024). From promises to practice: Evaluating the private browsing modes of Android browser apps. Proceedings of the ACM Conference. https://doi.org/10.1145/3589334.3645320
Mahmood, A. (2020). Identifying the influence of various factor of apps on Google Play apps ratings. Journal of Data, Information and Management, 2(1), 15–23. https://doi.org/10.1007/s42488-019-00015-w
Martin, W., Sarro, F., Harman, M., Jia, Y., & Zhang, Y. (2017). A survey of app store analysis for software engineering. IEEE Transactions on Software Engineering, 43(9), 817–847. https://doi.org/10.1109/TSE.2016.2630689
Meng, Y., Park, S., & Um, G. (2026). How review sentiment influences ratings in generative AI applications: Insights from VADER and LDA analysis. Journal of Retailing and Consumer Services, 88, Article 104560. https://doi.org/10.1016/j.jretconser.2025.104560
Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the practice of statistics (9th ed.). W. H. Freeman.
Ngereza, A., Muller, V., Lippu, C. O., Kutela, B., Kidando, E., & Kitali, A. (2026). Exploring benefits and challenges of 511 applications in enhancing mobility and safety by evaluating user reviews. Transportation Research Record, 2680(2), 598–613. https://doi.org/10.1177/03611981251366256
Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C. A., Canfora, G., & Gall, H. C. (2015). How can I improve my app? Classifying user reviews for software maintenance and evolution. Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME), 281–290. https://doi.org/10.1109/ICSM.2015.7332474
Phong, M. V., Nguyen, T. T., Pham, H. V., & Nguyen, T. T. (2015). Mining user opinions in mobile app reviews: A keyword-based approach Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), 749–759. https://doi.org/10.1109/ASE.2015.85
Pratesi, F., Hu, L., Rialti, R., Zollo, L., & Faraoni, M. (2021). Cultural dimensions in online purchase behavior: Evidence from a cross-cultural study. Italian Journal of Marketing, 2021, 227-247. https://doi.org/10.1007/s43039-021-00022-z.
Rahaman, S., Farooq, U., Neamtiu, I., & Zhao, Z. (2023). Detecting potential user-data save & export losses due to Android app termination. 2023 IEEE/ACM International Conference on Automation of Software Test (AST), 152–162. https://doi.org/10.1109/AST58925.2023.00019
Ravichander, A., Black, A. W., Wilson, S., Norton, T., & Sadeh, N. (2019). Question answering for privacy policies: Combining computational and legal perspectives. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 4947–4958. https://doi.org/10.18653/v1/D19-1500
Sallberg, H., Wang, S., & Numminen, E. (2023). The combinatory role of online ratings and reviews in mobile app downloads: An empirical investigation of gaming and productivity apps from their initial app store launch. Journal of Marketing Analytics, 11(3), 426–442. https://doi.org/10.1057/s41270-022-00171-w
Srisopha, K., Phonsom, C., Lin, K., & Boehm, B. (2019). Same app, different countries: A preliminary user reviews study on most downloaded iOS apps. Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME), 76–80. https://doi.org/10.1109/ICSME.2019.00017
Statista (2025a). Market share of mobile operating systems worldwide from 2009 to 2025. Retrieved 07.30.2025, from https://www.statista.com/statistics/272698/global-market-share-held-by-mobile-operating-systems-since-2009/
Statista (2025b). Number of apps available in leading app stores as of august 2024 and june 2025. Retrieved 07.30.2025, from https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/
Teles, A., Rodrigues, I., Viana, D., Silva, F., Coutinho, L., Endler, M., … Rabelo, R. (2019). Mobile mental health: A review of applications for depression assistance. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 708–713. https://doi.org/10.1109/CBMS.2019.00143
Thompson, F., & Brouthers, K. (2021). Digital consumer engagement: National cultural differences and cultural tightness. Journal of International Marketing, 29, 22-44. https://doi.org/10.1177/1069031x211005729
Tjikhoeri, N., Olson, L., & Guzmán, E. (2024). The best ends by the best means: Ethical concerns in app reviews. Empirical Software Engineering, 29(6), Article 138. https://doi.org/10.1007/s10664-024-10463-7
Yu, L., Wang, H., Luo, X., Zhang, T., Liu, K., Chen, J., … Xiao, X. (2023). Towards automatically localizing function errors in mobile apps with user reviews. IEEE Transactions on Software Engineering, 49(4), 1464–1486. https://doi.org/10.1109/TSE.2022.3178096
Zhao, Y., Wang, N., Li, Y., Zhou, R., & Li, S. (2020). Do cultural differences affect users’ e‐learning adoption? A meta‐analysis. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13002

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Çağrı Şahin ^*
0000-0001-5800-6243
Türkiye

Yayımlanma Tarihi

17 Ağustos 2026

Gönderilme Tarihi

27 Kasım 2025

Kabul Tarihi

2 Haziran 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 34 Sayı: 2

DOI

https://doi.org/10.31796/ogummf.1831167

IZ

https://izlik.org/JA74LA72YG

APA

Şahin, Ç. (2026). ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 34(2), 2310-2325. https://doi.org/10.31796/ogummf.1831167

AMA

1.Şahin Ç. ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS. ESOGÜ Müh Mim Fak Derg. 2026;34(2):2310-2325. doi:10.31796/ogummf.1831167

Chicago

Şahin, Çağrı. 2026. “ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 34 (2): 2310-25. https://doi.org/10.31796/ogummf.1831167.

EndNote

Şahin Ç (01 Ağustos 2026) ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 34 2 2310–2325.

IEEE

[1]Ç. Şahin, “ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS”, ESOGÜ Müh Mim Fak Derg, c. 34, sy 2, ss. 2310–2325, Ağu. 2026, doi: 10.31796/ogummf.1831167.

ISNAD

Şahin, Çağrı. “ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 34/2 (01 Ağustos 2026): 2310-2325. https://doi.org/10.31796/ogummf.1831167.

JAMA

1.Şahin Ç. ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS. ESOGÜ Müh Mim Fak Derg. 2026;34:2310–2325.

MLA

Şahin, Çağrı. “ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, c. 34, sy 2, Ağustos 2026, ss. 2310-25, doi:10.31796/ogummf.1831167.

Vancouver

1.Çağrı Şahin. ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS. ESOGÜ Müh Mim Fak Derg. 01 Ağustos 2026;34(2):2310-25. doi:10.31796/ogummf.1831167

MOBİL UYGULAMA EKOSİSTEMİNİN FARKLI BÖLGELER AÇISINDAN ANALİZİ

Öz

Anahtar Kelimeler

ANALYSIS OF THE MOBILE APPLICATION ECOSYSTEM ACROSS DIFFERENT REGIONS

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster