{"id":"https://openalex.org/W1963897957","doi":"https://doi.org/10.1109/bsn.2012.16","title":"Mapping Organizational Dynamics with Body Sensor Networks","display_name":"Mapping Organizational Dynamics with Body Sensor Networks","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1963897957","doi":"https://doi.org/10.1109/bsn.2012.16","mag":"1963897957"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2012.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5047724274","display_name":"Wen Dong","orcid":"https://orcid.org/0000-0001-8923-2227"},"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"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen Dong","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA, USA","Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077070004","display_name":"Daniel Olgu\u00edn-Olgu\u00edn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Olguin-Olguin","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063502960","display_name":"Benjamin N. Waber","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Waber","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051006703","display_name":"Taemie Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taemie Kim","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007176508","display_name":"Alex Pentland","orcid":"https://orcid.org/0000-0002-8053-9983"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex \"Sandy\" Pentland","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.173,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":13,"citation_normalized_percentile":{"value":0.813204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"135"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9952,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9952,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9895,"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/T11810","display_name":"Complex Systems and Decision Making","score":0.9576,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.71634203},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46367002},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45827222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304923},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.71634203},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.55929995},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46367002},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45827222},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44413882},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41038793},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4100799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40189505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2855089},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10583514},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2012.16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1501219137","https://openalex.org/W1507031434","https://openalex.org/W1577898041","https://openalex.org/W192647492","https://openalex.org/W1979638981","https://openalex.org/W2000359198","https://openalex.org/W2001081968","https://openalex.org/W2016381774","https://openalex.org/W2034817216","https://openalex.org/W2049890080","https://openalex.org/W2109533003","https://openalex.org/W2142136129","https://openalex.org/W2150327087","https://openalex.org/W2187722256","https://openalex.org/W218882833","https://openalex.org/W2483014731","https://openalex.org/W2486038092","https://openalex.org/W2550568158","https://openalex.org/W4299944378","https://openalex.org/W60915298"],"related_works":["https://openalex.org/W4387506531","https://openalex.org/W4380551139","https://openalex.org/W4365211920","https://openalex.org/W4317695495","https://openalex.org/W4299831724","https://openalex.org/W4287117424","https://openalex.org/W4283803360","https://openalex.org/W4238433571","https://openalex.org/W3014948380","https://openalex.org/W2967848559"],"abstract_inverted_index":{"This":[0,104],"paper":[1,73,105],"demonstrates":[2,106],"a":[3,18,78],"novel":[4],"approach":[5],"that":[6],"combines":[7],"generative":[8],"models":[9,22,59,130],"of":[10,137],"organizational":[11,25,111,128],"dynamics":[12,112,129],"and":[13,34,46,53,97,102,118],"sensor":[14,115],"network":[15,39,116],"data":[16,40,61,68,79,132],"with":[17,32,44,84,90,113],"stochastic":[19,55],"method.":[20,66],"Generative":[21],"specify":[23],"how":[24,75],"performance":[26,101],"is":[27],"related":[28],"to":[29,60,124],"who":[30,35,42,47],"interacts":[31,43],"whom":[33,45],"performs":[36,48],"what.":[37],"Sensor":[38],"track":[41],"what":[49],"within":[50],"an":[51],"organization,":[52],"the":[54,63,107,122],"methodology":[56],"fits":[57],"multi-agent":[58],"through":[62],"Monte":[64],"Carlo":[65],"The":[67],"set":[69],"used":[70],"in":[71,77],"this":[72],"documents":[74,98],"employees":[76],"service":[80],"center":[81],"handle":[82],"tasks":[83],"different":[85,135],"difficulty":[86],"levels":[87],"-":[88,96],"tracked":[89],"sociometric":[91],"badges":[92],"for":[93,109,134],"one":[94],"month":[95],"links":[99],"between":[100],"behavior.":[103],"potential":[108],"improving":[110],"body":[114],"data,":[117],"therefore":[119],"also":[120],"shows":[121],"need":[123],"systematically":[125],"benchmark":[126],"differential":[127],"on":[131],"sets":[133],"types":[136],"organizations.":[138]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1963897957","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-01-17T13:22:02.202736","created_date":"2016-06-24"}