{"id":"https://openalex.org/W1975394147","doi":"https://doi.org/10.1109/icif.2007.4407970","title":"A Probabilistic computational model for identifying organizational structures from uncertain message data","display_name":"A Probabilistic computational model for identifying organizational structures from uncertain message data","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1975394147","doi":"https://doi.org/10.1109/icif.2007.4407970","mag":"1975394147"},"language":"en","primary_location":{"id":"doi:10.1109/icif.2007.4407970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4407970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","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/A5111596558","display_name":"Feili Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feili Yu","raw_affiliation_strings":["Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097254122","display_name":"Georgiy Levchuck","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgiy Levchuck","raw_affiliation_strings":["Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082001657","display_name":"Krishna R. Pattipati","orcid":"https://orcid.org/0000-0002-0565-181X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Pattipati","raw_affiliation_strings":["Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Connecticut,Storrs,CT,U.S.A","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108651780","display_name":"Fang Tu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Tu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111596558"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.5217,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63193571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"244","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13371","display_name":"Military Defense Systems Analysis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/computer-science","display_name":"Computer science","score":0.7507846355438232},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.668922483921051},{"id":"https://openalex.org/keywords/organizational-structure","display_name":"Organizational structure","score":0.4821593165397644},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.46668538451194763},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4597153663635254},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43796882033348083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39716821908950806},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3395878076553345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2741004526615143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507846355438232},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.668922483921051},{"id":"https://openalex.org/C182566","wikidata":"https://www.wikidata.org/wiki/Q759524","display_name":"Organizational structure","level":2,"score":0.4821593165397644},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.46668538451194763},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4597153663635254},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43796882033348083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39716821908950806},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3395878076553345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2741004526615143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icif.2007.4407970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4407970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W36640343","https://openalex.org/W1495763863","https://openalex.org/W1578099820","https://openalex.org/W1594291738","https://openalex.org/W1972278541","https://openalex.org/W1974599169","https://openalex.org/W2014425592","https://openalex.org/W2020934227","https://openalex.org/W2025106365","https://openalex.org/W2048452093","https://openalex.org/W2054826744","https://openalex.org/W2136573752","https://openalex.org/W2138666566","https://openalex.org/W2149796994","https://openalex.org/W2164443455","https://openalex.org/W2168688492","https://openalex.org/W2169353732","https://openalex.org/W2238582461","https://openalex.org/W2295214400","https://openalex.org/W2545563415","https://openalex.org/W6601511612","https://openalex.org/W6634702315","https://openalex.org/W6680352957"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2559776840"],"abstract_inverted_index":{"The":[0,129],"knowledge":[1,25],"of":[2,26,29,49,75,96],"the":[3,27,30,50,73,91,111,116,119,138,146],"principles":[4],"and":[5,38,66,76,84,100,103,137,150],"goals":[6],"under":[7],"which":[8],"an":[9],"adversary":[10],"organization":[11,99],"operates":[12],"is":[13,52],"required":[14],"to":[15,71,109],"predict":[16],"its":[17],"future":[18],"activities.":[19],"To":[20],"implement":[21],"successful":[22],"counter-actions,":[23],"additional":[24],"specifics":[28],"organizational":[31,79,148,156],"structures,":[32],"such":[33],"as":[34,42,44],"command,":[35],"communication,":[36],"control,":[37],"information":[39],"access":[40],"networks,":[41],"well":[43],"responsibility":[45],"distribution":[46],"among":[47,78,155],"members":[48],"organization,":[51],"required.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"employ":[58],"a":[59,67,126],"Hidden":[60],"Markov":[61],"Random":[62],"Field":[63],"(HMRF)":[64],"model":[65,136],"graph":[68],"matching":[69],"algorithm":[70,142],"discover":[72],"attributes":[74],"relationships":[77],"members,":[80],"assets,":[81],"environment":[82],"areas,":[83],"mission":[85],"tasks.":[86],"We":[87],"focus":[88],"on":[89],"identifying":[90],"mapping":[92],"between":[93],"hypothesized":[94],"nodes":[95],"enemy":[97],"command":[98],"tracked":[101],"individuals":[102],"resources.":[104],"This":[105],"also":[106],"allows":[107],"us":[108],"compute":[110],"posterior":[112],"energy":[113],"function":[114],"quantifying":[115],"belief":[117],"that":[118,133],"observed":[120],"data":[121],"has":[122],"been":[123],"generated":[124],"by":[125],"particular":[127],"organization.":[128],"experiment":[130],"results":[131],"show":[132],"our":[134],"probabilistic":[135],"Simulated":[139],"Annealing":[140],"search":[141],"can":[143],"accurately":[144],"identify":[145],"different":[147],"structures":[149],"achieve":[151],"correct":[152],"node":[153],"mappings":[154],"members.":[157]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
