{"id":"https://openalex.org/W4412877203","doi":"https://doi.org/10.1145/3711896.3737085","title":"PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators","display_name":"PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877203","doi":"https://doi.org/10.1145/3711896.3737085"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737085","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737085","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737085","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061888153","display_name":"Renzhe Xu","orcid":"https://orcid.org/0000-0001-8418-0034"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renzhe Xu","raw_affiliation_strings":["MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, ITCS, Shanghai University of Finance and Economics, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, ITCS, Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072541670","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0003-2928-5575"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054379354","display_name":"Xingxuan Zhang","orcid":"https://orcid.org/0009-0002-4788-1127"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxuan Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628410","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5599-8857"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Economics and Management, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061888153"],"corresponding_institution_ids":["https://openalex.org/I181679659"],"apc_list":null,"apc_paid":null,"fwci":2.1935,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89463782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3425","last_page":"3436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9577000141143799,"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/computer-science","display_name":"Computer science","score":0.7181944251060486},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6456417441368103},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5608084797859192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3787332773208618},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.34956440329551697},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32365164160728455},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10588866472244263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10550463199615479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181944251060486},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6456417441368103},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5608084797859192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3787332773208618},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.34956440329551697},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32365164160728455},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10588866472244263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10550463199615479},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737085","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737085","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737085","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737085","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877203.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W953872881","https://openalex.org/W1757569435","https://openalex.org/W1966384122","https://openalex.org/W1996013982","https://openalex.org/W2009551863","https://openalex.org/W2026535904","https://openalex.org/W2032200533","https://openalex.org/W2084300636","https://openalex.org/W2115276154","https://openalex.org/W2139509144","https://openalex.org/W2143381018","https://openalex.org/W2474012247","https://openalex.org/W2508573783","https://openalex.org/W2548136926","https://openalex.org/W2746826963","https://openalex.org/W2805178050","https://openalex.org/W2890840095","https://openalex.org/W2891633525","https://openalex.org/W2912712349","https://openalex.org/W2949191696","https://openalex.org/W2950929549","https://openalex.org/W2952233008","https://openalex.org/W2963488086","https://openalex.org/W2963543020","https://openalex.org/W2964268212","https://openalex.org/W2964798692","https://openalex.org/W2971266385","https://openalex.org/W2990138404","https://openalex.org/W3004791645","https://openalex.org/W3007098825","https://openalex.org/W3008301325","https://openalex.org/W3034922058","https://openalex.org/W3097585655","https://openalex.org/W3103006639","https://openalex.org/W3103039843","https://openalex.org/W3110807238","https://openalex.org/W3120291272","https://openalex.org/W3124061381","https://openalex.org/W3135141455","https://openalex.org/W3137912567","https://openalex.org/W3156242690","https://openalex.org/W3173558017","https://openalex.org/W3175947004","https://openalex.org/W3194392762","https://openalex.org/W3195138580","https://openalex.org/W3207790912","https://openalex.org/W3211117174","https://openalex.org/W3212502353","https://openalex.org/W4206275166","https://openalex.org/W4206530644","https://openalex.org/W4233489766","https://openalex.org/W4283207681","https://openalex.org/W4287023148","https://openalex.org/W4297669718","https://openalex.org/W4306816338","https://openalex.org/W4380715387","https://openalex.org/W4401857157","https://openalex.org/W6639595677","https://openalex.org/W6692447168","https://openalex.org/W6720610089","https://openalex.org/W6748658983"],"related_works":["https://openalex.org/W4250539519","https://openalex.org/W4294018197","https://openalex.org/W4233433299","https://openalex.org/W2379384513","https://openalex.org/W2213288308","https://openalex.org/W2884856691","https://openalex.org/W4244821991","https://openalex.org/W2125732910","https://openalex.org/W2909905999","https://openalex.org/W1636325709"],"abstract_inverted_index":{"In":[0,20],"this":[1],"paper,":[2],"we":[3,93,118,151],"present":[4],"the":[5,21,76,79,85,105,121,154,175],"Proportional":[6],"Payoff":[7],"Allocation":[8],"Game":[9],"(PPA-Game),":[10],"which":[11],"characterizes":[12],"situations":[13],"where":[14,107],"agents":[15,23],"compete":[16,55],"for":[17,56,166],"divisible":[18],"resources.":[19],"PPA-game,":[22],"select":[24],"from":[25],"available":[26],"resources,":[27],"and":[28,52,66],"their":[29],"payoffs":[30,127,146],"are":[31],"proportionately":[32],"determined":[33],"based":[34],"on":[35,46,64],"heterogeneous":[36],"weights":[37],"attributed":[38],"to":[39],"them.":[40],"Such":[41],"dynamics":[42],"simulate":[43],"content":[44,61],"creators":[45],"online":[47,123,138,179],"recommender":[48],"systems":[49],"like":[50],"YouTube":[51],"TikTok,":[53],"who":[54],"finite":[57],"consumer":[58],"attention,":[59],"with":[60],"exposure":[62],"reliant":[63],"inherent":[65],"distinct":[67],"quality.":[68],"We":[69,135],"first":[70],"conduct":[71],"a":[72,88,130],"game-theoretical":[73],"analysis":[74],"of":[75,87,144,156,177],"PPA-Game.":[77],"While":[78],"PPA-Game":[80],"does":[81,109],"not":[82,110],"always":[83],"guarantee":[84],"existence":[86],"pure":[89],"Nash":[90],"equilibrium":[91],"(PNE),":[92],"identify":[94],"prevalent":[95],"scenarios":[96],"ensuring":[97],"its":[98],"existence.":[99],"Simulated":[100],"experiments":[101],"further":[102,119,173],"prove":[103],"that":[104,153],"cases":[106],"PNE":[108],"exist":[111],"rarely":[112],"happen.":[113],"Beyond":[114],"analyzing":[115],"static":[116],"payoffs,":[117],"discuss":[120],"agents'":[122],"learning":[124,180],"about":[125],"resource":[126],"by":[128,161],"integrating":[129],"multi-player":[131],"multi-armed":[132],"bandit":[133],"framework.":[134],"propose":[136],"an":[137],"algorithm":[139],"facilitating":[140],"each":[141],"agent's":[142],"maximization":[143],"cumulative":[145],"over":[147],"T":[148],"rounds.":[149],"Theoretically,":[150],"establish":[152],"regret":[155],"any":[157,167],"agent":[158],"is":[159],"bounded":[160],"O(log^1":[162],"+":[163],"\u03b7":[164,168],"T)":[165],">":[169],"0.":[170],"Empirical":[171],"results":[172],"validate":[174],"effectiveness":[176],"our":[178],"approach.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}