{"id":"https://openalex.org/W2937738392","doi":"https://doi.org/10.1109/access.2019.2907067","title":"Modeling Small Systems Through the Relative Entropy Lattice","display_name":"Modeling Small Systems Through the Relative Entropy Lattice","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2937738392","doi":"https://doi.org/10.1109/access.2019.2907067","mag":"2937738392"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2907067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907067","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08672964.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08672964.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073358375","display_name":"Yair Neuman","orcid":"https://orcid.org/0000-0002-3920-0355"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yair Neuman","raw_affiliation_strings":["The Department of Brain and Cognitive Sciences and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Beersheba, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Brain and Cognitive Sciences and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Beersheba, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067064621","display_name":"Dan Vilenchik","orcid":"https://orcid.org/0000-0002-3895-688X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dan Vilenchik","raw_affiliation_strings":["The Department of Communication Systems Engineering, Ben Gurion University of the Negev, Beersheba, Israel"],"raw_orcid":"https://orcid.org/0000-0002-3895-688X","affiliations":[{"raw_affiliation_string":"The Department of Communication Systems Engineering, Ben Gurion University of the Negev, Beersheba, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7445,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92484402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"43591","last_page":"43597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8096588850021362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315270662307739},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5313746333122253},{"id":"https://openalex.org/keywords/additive-function","display_name":"Additive function","score":0.485486775636673},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.472202867269516},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.45696184039115906},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.42461538314819336},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35775047540664673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28823423385620117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2613653540611267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13092947006225586}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8096588850021362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315270662307739},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5313746333122253},{"id":"https://openalex.org/C38803922","wikidata":"https://www.wikidata.org/wiki/Q95745348","display_name":"Additive function","level":2,"score":0.485486775636673},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.472202867269516},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.45696184039115906},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.42461538314819336},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35775047540664673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28823423385620117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2613653540611267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13092947006225586},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2907067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907067","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08672964.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c7eac49e9ccd4b63b9d691581cd00a9e","is_oa":true,"landing_page_url":"https://doaj.org/article/c7eac49e9ccd4b63b9d691581cd00a9e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 43591-43597 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2907067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907067","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08672964.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4629855253","display_name":null,"funder_award_id":"1388/16","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1501202226","https://openalex.org/W1505296242","https://openalex.org/W1559492868","https://openalex.org/W1969386212","https://openalex.org/W1995844781","https://openalex.org/W2013099975","https://openalex.org/W2024887608","https://openalex.org/W2032793676","https://openalex.org/W2056743217","https://openalex.org/W2122007824","https://openalex.org/W2252016937","https://openalex.org/W2576905751","https://openalex.org/W2769799680","https://openalex.org/W2770621735","https://openalex.org/W2772358752","https://openalex.org/W2811012189","https://openalex.org/W2891323732","https://openalex.org/W2895340225","https://openalex.org/W2912976315","https://openalex.org/W2913529349","https://openalex.org/W2963885173","https://openalex.org/W3034081432","https://openalex.org/W3106281686","https://openalex.org/W6753091637"],"related_works":["https://openalex.org/W2369066770","https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2979338343","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W2163103544","https://openalex.org/W2551182807","https://openalex.org/W3033899355","https://openalex.org/W4383822431"],"abstract_inverted_index":{"There":[0],"are":[1,45],"certain":[2],"contexts,":[3],"where":[4],"we":[5,89,108,122,157],"would":[6],"like":[7],"to":[8,102,113,197],"analyze":[9],"the":[10,29,65,80,92,100,104,124,142,169,182,195,203],"behavior":[11,70,83,93,105,170],"of":[12,37,47,84,94,126,132,141,171],"small":[13,43,62,128,174],"interacting":[14,22,38],"systems,":[15],"such":[16,192],"as":[17,193],"sports":[18],"teams.":[19],"While":[20],"large":[21],"systems":[23,36,44,129],"have":[24],"drawn":[25],"much":[26],"attention":[27],"in":[28,67,130,167,202],"past":[30],"years,":[31],"let":[32],"it":[33],"be":[34],"physical":[35],"particles":[39],"or":[40],"social":[41],"networks,":[42],"short":[46],"appropriate":[48],"quantitative":[49],"modeling":[50,127,168],"and":[51,116,146,163],"measurement":[52],"tools.":[53],"We":[54,144],"propose":[55],"a":[56,61,95,148,159,172,176],"simple":[57,81],"procedure":[58],"for":[59,150],"analyzing":[60],"system":[63],"through":[64,155],"degree":[66],"which":[68,103],"its":[69,85,165],"at":[71,137],"different":[72,138],"granularity":[73,139],"levels":[74,140],"(e.g.,":[75],"dyads)":[76],"non-linearly":[77],"diverges":[78],"from":[79,110,135,153,181],"additive":[82],"sub-units.":[86],"For":[87],"example,":[88],"may":[90],"model":[91],"soccer":[96,177],"team":[97],"by":[98],"measuring":[99,133],"extent":[101],"changes":[106],"when":[107],"move":[109],"individual":[111],"players":[112],"dyads,":[114],"triads,":[115],"so":[117],"on.":[118],"In":[119],"this":[120],"paper,":[121],"address":[123],"challenge":[125],"terms":[131],"divergence":[134,152],"additivity":[136,154],"system.":[143],"present":[145],"develop":[147],"measure":[149],"quantifying":[151],"what":[156],"term":[158],"Relative":[160],"Entropy":[161],"Lattice,":[162],"illustrate":[164],"benefits":[166],"specific":[173],"system,":[175],"team,":[178],"using":[179],"data":[180],"English":[183],"Premier":[184],"League.":[185],"Our":[186],"method":[187],"has":[188],"practical":[189],"implications":[190],"too,":[191],"allowing":[194],"coach":[196],"identify":[198],"\u201chidden\u201d":[199],"weak":[200],"spots":[201],"team's":[204],"behavior.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
