{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:17:21Z","timestamp":1761178641013,"version":"build-2065373602"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T00:00:00Z","timestamp":1750032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Icons are the first visual element users encounter when searching for applications in online store. Icons with eye-catching features can make an app stand out in user searches, playing a crucial role in attracting user attention and influencing selection. This increases the likelihood of downloads, which can expand the user base, improve revenue, and enhance engagement, contributing to the application\u2019s overall success. However, the majority of research focused on evaluating appeal of apps through application icons is empirical in nature and may lack comprehensive data analytical approaches. While empirical research holds its significance, it may still be limited by the size of the dataset analyzed and could also be subjective. This proposed research presents a novel data-analytical methodology to analyze a large dataset of application icons from Google Play to determine their influence on downloads. It clusters the icons using three different techniques: $K$-means clustering with two distinct feature vectors and agglomerative clustering, extracting various visual features from the clusters that are strongly correlated with application installs. Subsequently, validation of results has revealed that factors of varied colors, the dominance of white or black colors, text, and exposure in the icons can be linked to downloads.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaf060","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T07:48:54Z","timestamp":1745826534000},"page":"1579-1593","source":"Crossref","is-referenced-by-count":0,"title":["On the correlation between Google Play Store application icons and downloads"],"prefix":"10.1093","volume":"68","author":[{"given":"Ahmad","family":"Bilal","sequence":"first","affiliation":[{"name":"Department of Computer Science , COMSATS University Islamabad, Lahore Campus, Lahore 54000,","place":["Pakistan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamid","family":"Turab Mirza","sequence":"additional","affiliation":[{"name":"Department of Computer Science , COMSATS University Islamabad, Lahore Campus, Lahore 54000,","place":["Pakistan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adnan","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Department of Computer Science , COMSATS University Islamabad, Lahore Campus, Lahore 54000,","place":["Pakistan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ibrar","family":"Hussain","sequence":"additional","affiliation":[{"name":"Department of Software Engineering , The University of Lahore, Lahore 54000, Punjab,","place":["Pakistan"]},{"name":"Faculty of Engineering & Information Technology , Shinawatra University, Bangtoey Samkhok 12160, Pathum Thani,","place":["Thailand"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5429-9835","authenticated-orcid":false,"given":"Ali","family":"Raza","sequence":"additional","affiliation":[{"name":"Department of Software Engineering , The University of Lahore, Lahore 54000, Punjab,","place":["Pakistan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helena","family":"Garay","sequence":"additional","affiliation":[{"name":"Universidad Europea del Atl\u00e1ntico , Isabel Torres 21, E-39011 Santander,","place":["Spain"]},{"name":"Universidade Internacional do Cuanza. Cuito , Bi\u00e9,","place":["Angola"]},{"name":"Universidad de La Romana. La Romana , Rep\u00fablica Dominicana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Josep","family":"Alemany Iturriaga","sequence":"additional","affiliation":[{"name":"Universidad Europea del Atl\u00e1ntico , Isabel Torres 21, E-39011 Santander,","place":["Spain"]},{"name":"Universidad Internacional Iberoamericana , Campeche 24560, M\u00e9xico"},{"name":"Universidad Internacional Iberoamericana Arecibo , Puerto Rico 00613,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Imran","family":"Ashraf","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering , Yeungnam University, Gyeongsan 38541, South","place":["Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"key":"2025102208421419900_ref1","first-page":"81","article-title":"Factors influencing smartphone application downloads","volume-title":"Proceedings of the IFIP World Conference on Information Security Education (WISE)","author":"Van Rensburg","year":"2018"},{"key":"2025102208421419900_ref2","article-title":"Causal impact analysis on Android market","volume":"10","author":"AmanUllah","year":"2019","journal-title":"Int J Adv Comput Sci Appl"},{"key":"2025102208421419900_ref3","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.jbusres.2019.01.038","article-title":"Uncovering top-ranking factors for mobile apps through a multimethod approach","volume":"101","author":"Picoto","year":"2019","journal-title":"J Bus Res"},{"key":"2025102208421419900_ref4","doi-asserted-by":"crossref","first-page":"100443","DOI":"10.1016\/j.bdr.2024.100443","article-title":"Investigating influence of Google-Play application titles on success","volume":"36","author":"Bilal","year":"2024","journal-title":"Big Data Res"},{"key":"2025102208421419900_ref5","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.eap.2022.08.010","article-title":"The impact of app revenue model choices for app revenues: a study of apps since their initial app store launch","volume":"76","author":"Numminen","year":"2022","journal-title":"Econ Anal Policy"},{"key":"2025102208421419900_ref6","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1109\/ICSM.2015.7332476","article-title":"What are the characteristics of high-rated apps? 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