{"id":"https://openalex.org/W7140199071","doi":"https://doi.org/10.48550/arxiv.2603.21624","title":"A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music","display_name":"A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140199071","doi":"https://doi.org/10.48550/arxiv.2603.21624"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21624","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21624","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21624","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bae, Jiyeon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bae, Jiyeon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Seo, Jinwook","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seo, Jinwook","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.6376000046730042,"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/T11309","display_name":"Music and Audio Processing","score":0.6376000046730042,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.06270000338554382,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10941","display_name":"Musicology and Musical Analysis","score":0.05169999971985817,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6438000202178955},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6399000287055969},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6330999732017517},{"id":"https://openalex.org/keywords/pie-chart","display_name":"Pie chart","score":0.5171999931335449},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49399998784065247},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.42669999599456787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972000002861023},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6438000202178955},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6399000287055969},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6330999732017517},{"id":"https://openalex.org/C205208641","wikidata":"https://www.wikidata.org/wiki/Q273404","display_name":"Pie chart","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C114611597","wikidata":"https://www.wikidata.org/wiki/Q373342","display_name":"Popular music","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C545860419","wikidata":"https://www.wikidata.org/wiki/Q5193251","display_name":"Cultural analytics","level":5,"score":0.2635999917984009},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21624","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21624","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21624","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21624","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.40402349829673767,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"computational":[1],"studies":[2],"of":[3],"popular":[4],"music":[5],"primarily":[6],"model":[7],"aggregate":[8],"trends":[9],"or":[10],"predict":[11],"chart":[12,97],"performance,":[13],"offering":[14],"limited":[15],"support":[16],"for":[17,81],"interpreting":[18],"artist-level":[19],"alignment":[20,117],"against":[21],"historical":[22],"stylistic":[23,66],"baselines.":[24],"We":[25],"introduce":[26],"an":[27,42],"interactive":[28],"visual":[29],"analytics":[30],"framework":[31,114],"that":[32,116],"treats":[33],"each":[34],"artist-decade":[35],"as":[36],"a":[37,77],"unit":[38],"defined":[39],"relative":[40,68],"to":[41,69,91],"era-specific":[43],"baseline,":[44],"characterized":[45],"along":[46],"two":[47],"complementary":[48],"dimensions:":[49],"profile":[50,62],"shape":[51],"similarity,":[52],"capturing":[53,65],"directional":[54],"correspondence":[55],"with":[56,109],"the":[57,70,100,113],"era's":[58,71],"feature":[59],"pattern,":[60],"and":[61,86,118],"contrast":[63],"ratio,":[64],"intensity":[67,119],"dispersion.":[72],"Together,":[73],"these":[74],"dimensions":[75],"define":[76],"quadrant-based":[78],"trajectory":[79],"space":[80],"reasoning":[82],"about":[83],"conformity,":[84],"divergence,":[85],"amplification":[87],"over":[88],"time.":[89],"Applied":[90],"weekly":[92],"U.S.":[93],"Billboard":[94],"Hot":[95],"100":[96],"entries":[98],"from":[99],"all-time":[101],"top-10":[102],"artists":[103],"across":[104,123],"six":[105],"decades":[106],"(1960s-2010s),":[107],"linked":[108],"Spotify":[110],"audio":[111],"features,":[112],"reveals":[115],"can":[120],"meaningfully":[121],"diverge":[122],"artist":[124],"trajectories.":[125]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}
