{"id":"https://openalex.org/W2742283233","doi":"https://doi.org/10.1109/tcss.2017.2732167","title":"A Longitudinal Study of Google Play","display_name":"A Longitudinal Study of Google Play","publication_year":2017,"publication_date":"2017-08-11","ids":{"openalex":"https://openalex.org/W2742283233","doi":"https://doi.org/10.1109/tcss.2017.2732167","mag":"2742283233"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2017.2732167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2017.2732167","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.02996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080951829","display_name":"Rahul Potharaju","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Potharaju","raw_affiliation_strings":["Cloud and Information Services Laboratory, Microsoft, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cloud and Information Services Laboratory, Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648383","display_name":"Mizanur Rahman","orcid":"https://orcid.org/0000-0002-9853-2712"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mizanur Rahman","raw_affiliation_strings":["Florida International University, Miami, FL, USA","Florida International University , Miami, FL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Florida International University , Miami, FL, USA#TAB#","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070758536","display_name":"Bogdan C\u0103rbunar","orcid":"https://orcid.org/0000-0002-4950-9751"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bogdan Carbunar","raw_affiliation_strings":["Florida International University, Miami, FL, USA","Florida International University , Miami, FL, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-4950-9751","affiliations":[{"raw_affiliation_string":"Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Florida International University , Miami, FL, USA#TAB#","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11205128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"3","first_page":"135","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8542865514755249},{"id":"https://openalex.org/keywords/app-store","display_name":"App store","score":0.7510227560997009},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6944088935852051},{"id":"https://openalex.org/keywords/download","display_name":"Download","score":0.6784709692001343},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6338032484054565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596939206123352},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.517553985118866},{"id":"https://openalex.org/keywords/smartphone-app","display_name":"Smartphone app","score":0.49365195631980896},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4569864571094513},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45135626196861267},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.40213966369628906},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3104701638221741},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20189541578292847},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07378396391868591}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8542865514755249},{"id":"https://openalex.org/C2779794324","wikidata":"https://www.wikidata.org/wiki/Q3814081","display_name":"App store","level":2,"score":0.7510227560997009},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6944088935852051},{"id":"https://openalex.org/C2780154274","wikidata":"https://www.wikidata.org/wiki/Q7126717","display_name":"Download","level":2,"score":0.6784709692001343},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6338032484054565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596939206123352},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.517553985118866},{"id":"https://openalex.org/C3017619522","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Smartphone app","level":2,"score":0.49365195631980896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4569864571094513},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45135626196861267},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.40213966369628906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3104701638221741},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20189541578292847},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07378396391868591},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcss.2017.2732167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2017.2732167","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1802.02996","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.02996","pdf_url":"https://arxiv.org/pdf/1802.02996","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1802.02996","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.02996","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2742283233","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.02996","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.02996","pdf_url":"https://arxiv.org/pdf/1802.02996","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4369184279","display_name":"CSR: Small: Collaborative Research: Sensorprint: Hardware-Enforced Information Authentication for Mobile Systems","funder_award_id":"1526494","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5646908546","display_name":"TWC: Small: Collaborative: Cracking Down Online Deception Ecosystems","funder_award_id":"1527153","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6358821258","display_name":"EAGER: Digital Interventions for Reducing Social Networking Risks in Adolescents","funder_award_id":"1450619","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W34480466","https://openalex.org/W81879861","https://openalex.org/W187138455","https://openalex.org/W1520961854","https://openalex.org/W1536447791","https://openalex.org/W1586261963","https://openalex.org/W1953670109","https://openalex.org/W1963971515","https://openalex.org/W1966149512","https://openalex.org/W1970657847","https://openalex.org/W1993803315","https://openalex.org/W2008502641","https://openalex.org/W2027943416","https://openalex.org/W2067481044","https://openalex.org/W2087804676","https://openalex.org/W2090386458","https://openalex.org/W2095413996","https://openalex.org/W2112440119","https://openalex.org/W2114275288","https://openalex.org/W2125011234","https://openalex.org/W2141554582","https://openalex.org/W2154062297","https://openalex.org/W2154555821","https://openalex.org/W2173213060","https://openalex.org/W2292487094","https://openalex.org/W2962975150","https://openalex.org/W2999585024","https://openalex.org/W3103362336","https://openalex.org/W3121512357","https://openalex.org/W6601373970","https://openalex.org/W6603356336","https://openalex.org/W6607690186","https://openalex.org/W6632102171","https://openalex.org/W6641013258","https://openalex.org/W6641190993","https://openalex.org/W6712192629","https://openalex.org/W6726508898"],"related_works":["https://openalex.org/W2963055823","https://openalex.org/W3112032189","https://openalex.org/W2968873108","https://openalex.org/W2292487094","https://openalex.org/W2008502641","https://openalex.org/W2998360184","https://openalex.org/W2340171448","https://openalex.org/W2788314565","https://openalex.org/W2735852510","https://openalex.org/W3014692366","https://openalex.org/W2898883185","https://openalex.org/W2990687616","https://openalex.org/W2548737725","https://openalex.org/W2896849461","https://openalex.org/W2741981491","https://openalex.org/W2594868322","https://openalex.org/W2963953172","https://openalex.org/W3174290090","https://openalex.org/W2510180442","https://openalex.org/W2754222522"],"abstract_inverted_index":{"The":[0],"difficulty":[1],"of":[2,5,11,30,67,73,99,124,193],"large-scale":[3],"monitoring":[4,108],"app":[6,22,34,43,125,137,142,165,170,194],"markets":[7],"affects":[8],"our":[9],"understanding":[10],"their":[12],"dynamics.":[13],"This":[14],"is":[15],"particularly":[16],"true":[17],"for":[18],"dimensions":[19],"such":[20],"as":[21,36,38],"update":[23],"frequency,":[24],"control":[25],"and":[26,70,81,179,184,200],"pricing,":[27],"the":[28,61,71,107,121,135,148,190],"impact":[29,134],"developer":[31,199],"actions":[32],"on":[33,54,197],"popularity,":[35],"well":[37],"coveted":[39],"membership":[40],"in":[41,163],"top":[42,164],"lists.":[44,166],"In":[45],"this":[46],"paper,":[47],"we":[48,57,152,188],"perform":[49],"a":[50,96,116,140],"detailed":[51],"temporal":[52],"analysis":[53],"two":[55],"datasets":[56],"have":[58,79,102,160],"collected":[59,82],"from":[60],"Google":[62],"Play":[63],"Store,":[64],"one":[65],"consisting":[66],"160000":[68],"apps":[69,86,101,112,132,155],"other":[72],"87223":[74],"newly":[75],"released":[76],"apps.":[77],"We":[78,127,167],"monitored":[80],"data":[83],"about":[84],"these":[85,100,111],"over":[87,106],"more":[88],"than":[89],"six":[90],"months.":[91],"Our":[92],"results":[93],"show":[94,153,168],"that":[95,119,129,154,156,169],"high":[97],"number":[98,123],"not":[103,145],"been":[104],"updated":[105,131],"interval.":[109],"Moreover,":[110],"are":[113],"controlled":[114],"by":[115],"few":[117],"developers":[118],"dominate":[120],"total":[122],"downloads.":[126],"observe":[128],"infrequently":[130],"significantly":[133],"median":[136],"price.":[138],"However,":[139],"changing":[141],"price":[143],"does":[144],"correlate":[146],"with":[147],"download":[149],"count.":[150],"Furthermore,":[151],"attain":[157],"higher":[158],"ranks":[159],"better":[161],"stability":[162],"market":[171,195],"analytics":[172,196],"can":[173],"help":[174],"detect":[175],"emerging":[176],"threat":[177],"vectors,":[178],"identify":[180],"search":[181],"rank":[182],"fraud":[183],"even":[185],"malware.":[186],"Further,":[187],"discuss":[189],"research":[191],"implications":[192],"improving":[198],"user":[201],"experiences.":[202]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}