{"id":"https://openalex.org/W2165355535","doi":"https://doi.org/10.1109/icsmc.2009.5346826","title":"Node discovery in a networked organization","display_name":"Node discovery in a networked organization","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2165355535","doi":"https://doi.org/10.1109/icsmc.2009.5346826","mag":"2165355535"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/0803.3363","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yoshiharu Maeno","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yoshiharu Maeno","raw_affiliation_strings":["Social Design Group, Bunkyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Social Design Group, Bunkyo, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2449,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60350812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"3522","last_page":"3527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10574","display_name":"Crime Patterns and Interventions","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.927299976348877},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7057999968528748},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5889999866485596},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5669000148773193},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5570999979972839},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4729999899864197}],"concepts":[{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.927299976348877},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7057999968528748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578999757766724},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5889999866485596},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5669000148773193},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5570999979972839},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4729999899864197},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46790000796318054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39320001006126404},{"id":"https://openalex.org/C29024540","wikidata":"https://www.wikidata.org/wiki/Q1476964","display_name":"Covert channel","level":5,"score":0.3456000089645386},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34439998865127563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34299999475479126},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2632000148296356}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsmc.2009.5346826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:0803.3363","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0803.3363","pdf_url":"https://arxiv.org/pdf/0803.3363","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:0803.3363","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0803.3363","pdf_url":"https://arxiv.org/pdf/0803.3363","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1527463082","https://openalex.org/W1970857195","https://openalex.org/W2017102965","https://openalex.org/W2043690777","https://openalex.org/W2090953553","https://openalex.org/W2106335950","https://openalex.org/W2112090702","https://openalex.org/W2113401741","https://openalex.org/W2121821841","https://openalex.org/W2133184187","https://openalex.org/W2133874182","https://openalex.org/W2139818818","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2164928285","https://openalex.org/W2167819790","https://openalex.org/W2171369953","https://openalex.org/W4230274305","https://openalex.org/W4232932184","https://openalex.org/W4312512934","https://openalex.org/W6679197216","https://openalex.org/W6679935737","https://openalex.org/W6929187581"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"I":[3],"present":[4],"a":[5,9,14,109],"method":[6],"to":[7,20,121,145],"solve":[8],"node":[10],"discovery":[11],"problem":[12],"in":[13,36,129],"networked":[15],"organization.":[16],"Covert":[17],"nodes":[18,22,51,62,68,128],"refer":[19],"the":[21,37,42,45,49,56,60,66,77,82,85,90,93,105,113,122,130,138,141,146],"which":[23,40],"are":[24,102],"not":[25,34],"observable":[26],"directly.":[27],"They":[28],"affect":[29],"social":[30,46,86],"interactions,":[31],"but":[32],"do":[33],"appear":[35,64],"surveillance":[38],"logs":[39,58],"record":[41],"participants":[43],"of":[44,81,92,132,140,143,148],"interactions.":[47],"Discovering":[48],"covert":[50,61,67,127],"is":[52,74,119,152],"defined":[53],"as":[54],"identifying":[55],"suspicious":[57,94],"where":[59],"would":[63],"if":[65,137],"became":[69],"overt.":[70],"A":[71],"mathematical":[72],"model":[73],"developed":[75],"for":[76,89,125],"maximal":[78],"likelihood":[79],"estimation":[80],"network":[83],"behind":[84],"interactions":[87],"and":[88,98,112,135],"identification":[91],"logs.":[95],"Precision,":[96],"recall,":[97],"F":[99],"measure":[100],"characteristics":[101],"demonstrated":[103],"with":[104],"dataset":[106],"generated":[107],"from":[108],"real":[110],"organization":[111],"computationally":[114],"synthesized":[115],"datasets.":[116],"The":[117],"performance":[118],"close":[120],"theoretical":[123],"limit":[124],"any":[126,133],"networks":[131],"topologies":[134],"sizes":[136],"ratio":[139],"number":[142,147],"observation":[144],"possible":[149],"communication":[150],"patterns":[151],"large.":[153]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
