{"id":"https://openalex.org/W2982907616","doi":"https://doi.org/10.1140/epjds/s13688-019-0210-z","title":"Mapping the physics research space: a machine learning approach","display_name":"Mapping the physics research space: a machine learning approach","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2982907616","doi":"https://doi.org/10.1140/epjds/s13688-019-0210-z","mag":"2982907616"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-019-0210-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0210-z","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0210-z","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0210-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061488382","display_name":"Matteo Chinazzi","orcid":"https://orcid.org/0000-0002-5955-1929"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matteo Chinazzi","raw_affiliation_strings":["MOBS Lab, Northeastern University, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0002-5955-1929","affiliations":[{"raw_affiliation_string":"MOBS Lab, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039841997","display_name":"Bruno Gon\u00e7alves","orcid":"https://orcid.org/0000-0001-5644-3749"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bruno Gon\u00e7alves","raw_affiliation_strings":["Institute for Scientific Interchange Foundation, Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Scientific Interchange Foundation, Torino, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603610","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-5975-9781"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["MOBS Lab, Northeastern University, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOBS Lab, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046546654","display_name":"Alessandro Vespignani","orcid":"https://orcid.org/0000-0003-3419-4205"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Vespignani","raw_affiliation_strings":["MOBS Lab, Northeastern University, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOBS Lab, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061488382"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":2.989,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93679092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7393751740455627},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.643288791179657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403508186340332},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5779643654823303},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.568278431892395},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5393455028533936},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.48324570059776306},{"id":"https://openalex.org/keywords/knowledge-space","display_name":"Knowledge space","score":0.4790812134742737},{"id":"https://openalex.org/keywords/sociology-of-scientific-knowledge","display_name":"Sociology of scientific knowledge","score":0.47818663716316223},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41027212142944336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3905332684516907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2931412160396576},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.18977445363998413},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10461756587028503}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7393751740455627},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.643288791179657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403508186340332},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5779643654823303},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.568278431892395},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5393455028533936},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.48324570059776306},{"id":"https://openalex.org/C2777348039","wikidata":"https://www.wikidata.org/wiki/Q6423397","display_name":"Knowledge space","level":2,"score":0.4790812134742737},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.47818663716316223},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41027212142944336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3905332684516907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2931412160396576},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.18977445363998413},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10461756587028503},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-019-0210-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0210-z","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0210-z","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4cb8c808f32d4542ada1624a2f5def1d","is_oa":true,"landing_page_url":"https://doaj.org/article/4cb8c808f32d4542ada1624a2f5def1d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 8, Iss 1, Pp 1-18 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-019-0210-z","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-019-0210-z","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0210-z","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G400297296","display_name":null,"funder_award_id":"FA9550-15-1-0077","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982907616.pdf","grobid_xml":"https://content.openalex.org/works/W2982907616.grobid-xml"},"referenced_works_count":109,"referenced_works":["https://openalex.org/W1485179596","https://openalex.org/W1537758657","https://openalex.org/W1538839620","https://openalex.org/W1567978410","https://openalex.org/W1589469738","https://openalex.org/W1833467796","https://openalex.org/W1838881418","https://openalex.org/W1965631677","https://openalex.org/W1966957980","https://openalex.org/W1972499088","https://openalex.org/W1980228575","https://openalex.org/W1981328197","https://openalex.org/W1985380286","https://openalex.org/W1988244499","https://openalex.org/W1991724547","https://openalex.org/W2005207065","https://openalex.org/W2007597412","https://openalex.org/W2007631814","https://openalex.org/W2010702315","https://openalex.org/W2018353135","https://openalex.org/W2023054940","https://openalex.org/W2029686014","https://openalex.org/W2031177898","https://openalex.org/W2032911731","https://openalex.org/W2033745439","https://openalex.org/W2041432040","https://openalex.org/W2045108252","https://openalex.org/W2049213211","https://openalex.org/W2050805565","https://openalex.org/W2064927380","https://openalex.org/W2079090652","https://openalex.org/W2088781296","https://openalex.org/W2091506017","https://openalex.org/W2095972207","https://openalex.org/W2096775067","https://openalex.org/W2100484636","https://openalex.org/W2102209736","https://openalex.org/W2108795964","https://openalex.org/W2109746829","https://openalex.org/W2113052506","https://openalex.org/W2117063780","https://openalex.org/W2123024445","https://openalex.org/W2124689612","https://openalex.org/W2128132605","https://openalex.org/W2129208071","https://openalex.org/W2129347385","https://openalex.org/W2130456849","https://openalex.org/W2146177219","https://openalex.org/W2146502635","https://openalex.org/W2148434025","https://openalex.org/W2152385771","https://openalex.org/W2152513188","https://openalex.org/W2154053722","https://openalex.org/W2154754580","https://openalex.org/W2163354434","https://openalex.org/W2164019165","https://openalex.org/W2165612380","https://openalex.org/W2192866431","https://openalex.org/W2213216572","https://openalex.org/W2250539671","https://openalex.org/W2465739951","https://openalex.org/W2487443737","https://openalex.org/W2493916176","https://openalex.org/W2519860742","https://openalex.org/W2547045893","https://openalex.org/W2548781101","https://openalex.org/W2585057539","https://openalex.org/W2596990011","https://openalex.org/W2604272474","https://openalex.org/W2606121251","https://openalex.org/W2607159947","https://openalex.org/W2612431485","https://openalex.org/W2692652169","https://openalex.org/W2741040861","https://openalex.org/W2762484717","https://openalex.org/W2765658614","https://openalex.org/W2774864989","https://openalex.org/W2786278274","https://openalex.org/W2793071066","https://openalex.org/W2803120221","https://openalex.org/W2842887116","https://openalex.org/W2883175180","https://openalex.org/W2896629373","https://openalex.org/W2903560887","https://openalex.org/W2904444295","https://openalex.org/W2914588721","https://openalex.org/W2915733332","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2951923752","https://openalex.org/W2953237954","https://openalex.org/W2963602293","https://openalex.org/W2963780471","https://openalex.org/W3098028234","https://openalex.org/W3100281841","https://openalex.org/W3102557072","https://openalex.org/W3102569475","https://openalex.org/W3102588263","https://openalex.org/W3103665095","https://openalex.org/W3106005664","https://openalex.org/W3106485173","https://openalex.org/W3123108851","https://openalex.org/W3123726009","https://openalex.org/W3135067153","https://openalex.org/W4232091141","https://openalex.org/W4241136145","https://openalex.org/W4285719527","https://openalex.org/W6603850445","https://openalex.org/W6607716920"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W2387011115","https://openalex.org/W1838576100","https://openalex.org/W2361478573","https://openalex.org/W1874947633","https://openalex.org/W3215386944","https://openalex.org/W2086294213"],"abstract_inverted_index":{"Abstract":[0],"Scientific":[1],"discoveries":[2],"do":[3],"not":[4],"occur":[5],"in":[6,16,113,146],"vacuum":[7],"but":[8],"rather":[9],"by":[10,209],"connecting":[11],"existing":[12],"pieces":[13],"of":[14,26,35,38,65,93,109,149,174,180,190,216],"knowledge":[15,28,50,87,138,203],"new":[17,45,202],"and":[18,24,86,105,136,168,178,197,229,237],"creative":[19],"ways.":[20],"Mapping":[21],"the":[22,36,61,78,94,99,110,117,132,137,143,156,170,175,191,198],"relation":[23,118,192],"structure":[25],"scientific":[27,39,49,217],"is":[29,74,223],"therefore":[30],"central":[31],"to":[32,47,76,128,141,166,200,225,233,242],"our":[33,210],"understanding":[34],"dynamics":[37],"production.":[40],"Here":[41],"we":[42,185],"introduce":[43],"a":[44,54,107],"approach":[46,57,96,222],"generate":[48],"maps":[51],"based":[52],"on":[53,244],"machine":[55],"learning":[56],"that,":[58],"starting":[59],"from":[60],"observed":[62],"publication":[63],"patterns":[64],"authors,":[66],"generates":[67,106],"an":[68,91,187],"N":[69],"-dimensional":[70],"space":[71,112],"where":[72],"it":[73],"possible":[75],"measure":[77,129],"similarity":[79],"or":[80],"distance":[81],"between":[82,193],"different":[83],"research":[84,111,120,133,144,176,238],"topics":[85,121],"domains.":[88],"We":[89,124,158],"provide":[90,186],"implementation":[92],"proposed":[95,221],"that":[97,115,160],"considers":[98],"American":[100],"Physical":[101],"Society":[102],"publications":[103],"database":[104],"map":[108,127],"Physics":[114],"characterizes":[116],"among":[119],"over":[122,172],"time.":[123],"use":[125],"this":[126],"two":[130],"indicators,":[131],"capacity":[134,177],"fingerprint":[135],"density":[139],",":[140],"profile":[142],"activity":[145],"physical":[147],"sciences":[148],"more":[150],"than":[151],"400":[152],"urban":[153],"areas":[154,239],"across":[155],"world.":[157],"show":[159],"these":[161],"indicators":[162,196],"can":[163,230],"be":[164,231],"used":[165],"analyze":[167],"predict":[169],"evolution":[171],"time":[173],"specialization":[179],"specific":[181],"geographical":[182],"areas.":[183],"Furthermore":[184],"extensive":[188],"analysis":[189],"socio-economic":[194],"development":[195],"ability":[199],"produce":[201],"for":[204],"67":[205],"countries,":[206],"as":[207],"measured":[208],"approach,":[211],"highlighting":[212],"some":[213],"key":[214],"correlates":[215],"production":[218],"capacity.":[219],"The":[220],"scalable":[224],"very":[226],"large":[227],"datasets":[228],"extended":[232],"study":[234],"other":[235],"disciplines":[236],"without":[240],"having":[241],"rely":[243],"ad-hoc":[245],"science":[246],"classification":[247],"schemes.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}