{"id":"https://openalex.org/W2056384460","doi":"https://doi.org/10.1145/2505821.2505832","title":"Exploring venue-based city-to-city similarity measures","display_name":"Exploring venue-based city-to-city similarity measures","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W2056384460","doi":"https://doi.org/10.1145/2505821.2505832","mag":"2056384460"},"language":"en","primary_location":{"id":"doi:10.1145/2505821.2505832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505821.2505832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086173474","display_name":"Daniel Preo\u021biuc-Pietro","orcid":"https://orcid.org/0000-0002-4504-0212"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Daniel Preo\u0163iuc-Pietro","raw_affiliation_strings":["University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035073270","display_name":"Justin Cranshaw","orcid":"https://orcid.org/0009-0002-5856-1735"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Cranshaw","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie-Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070657152","display_name":"Tae Yano","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tae Yano","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie-Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086173474"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":6.248,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95658879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6636976599693298},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5844064354896545},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4839746952056885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4822574257850647},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4818767011165619},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.46301835775375366},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.456863135099411},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4362275004386902},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1976783275604248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18205201625823975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1266891360282898}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6636976599693298},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5844064354896545},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4839746952056885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4822574257850647},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4818767011165619},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.46301835775375366},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.456863135099411},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4362275004386902},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1976783275604248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18205201625823975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1266891360282898},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2505821.2505832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505821.2505832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1534233039","https://openalex.org/W2085594281","https://openalex.org/W2101823987","https://openalex.org/W2142889507","https://openalex.org/W2149510050","https://openalex.org/W2153207204","https://openalex.org/W2164061616","https://openalex.org/W2165442870","https://openalex.org/W3123170084"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2085633464","https://openalex.org/W151699219"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,36],"explore":[4],"the":[5,14,20,38,70,80,86,108,124,135],"use":[6],"of":[7,17,22,40,43,56,64,69,100],"incidentally":[8],"generated":[9],"social":[10],"network":[11],"data":[12,28,47,103],"for":[13],"folksonomic":[15],"characterization":[16],"cities":[18,106],"by":[19],"types":[21],"amenities":[23],"located":[24],"within":[25,75,79],"them.":[26],"Using":[27],"collected":[29],"about":[30],"venue":[31,71,102],"categories":[32,72],"in":[33,123,134],"various":[34],"cities,":[35],"examine":[37],"effect":[39],"different":[41,121],"granularities":[42],"spatial":[44],"aggregation":[45],"and":[46,84,139],"normalization":[48],"when":[49],"representing":[50],"a":[51,54,65,76,89,96],"city":[52,87,137],"as":[53,88],"collection":[55],"its":[57],"venues.":[58,115],"We":[59,91],"introduce":[60],"three":[61],"vector-based":[62],"representations":[63],"city,":[66],"where":[67],"aggregations":[68],"are":[73],"done":[74],"grid":[77],"structure,":[78],"city's":[81],"municipal":[82],"neighborhoods,":[83],"across":[85,107],"whole.":[90],"apply":[92],"our":[93],"methods":[94],"to":[95,129],"novel":[97],"dataset":[98],"consisting":[99],"Foursquare":[101],"from":[104],"17":[105],"United":[109],"States,":[110],"totaling":[111],"over":[112],"1":[113],"million":[114],"Our":[116],"preliminary":[117],"investigation":[118],"demonstrates":[119],"that":[120],"assumptions":[122],"urban":[125],"perception":[126],"could":[127],"lead":[128],"qualitative,":[130],"yet":[131],"distinctive,":[132],"variations":[133],"induced":[136],"description":[138],"categorization.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
