{"id":"https://openalex.org/W3011306582","doi":"https://doi.org/10.1109/milcom47813.2019.9020970","title":"Autonomic Clustering in Temporal Network Graphs","display_name":"Autonomic Clustering in Temporal Network Graphs","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011306582","doi":"https://doi.org/10.1109/milcom47813.2019.9020970","mag":"3011306582"},"language":"en","primary_location":{"id":"doi:10.1109/milcom47813.2019.9020970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom47813.2019.9020970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","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/A5112733653","display_name":"Joseph P. Macker","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph P. Macker","raw_affiliation_strings":["Information Technology Division, Naval Research Laboratory, Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Division, Naval Research Laboratory, Washington, DC","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046610168","display_name":"Jeffery W. Weston","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffery W. Weston","raw_affiliation_strings":["Information Technology Division, Naval Research Laboratory, Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Division, Naval Research Laboratory, Washington, DC","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088162642","display_name":"David J. Claypool","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Claypool","raw_affiliation_strings":["Information Technology Division, Naval Research Laboratory, Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Division, Naval Research Laboratory, Washington, DC","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1288214837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20014918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"664","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6961959600448608},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6151169538497925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25989022850990295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961959600448608},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6151169538497925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25989022850990295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom47813.2019.9020970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom47813.2019.9020970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","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/W229097380","https://openalex.org/W1920595778","https://openalex.org/W1966119405","https://openalex.org/W2023427608","https://openalex.org/W2047940964","https://openalex.org/W2059795596","https://openalex.org/W2091169407","https://openalex.org/W2101234009","https://openalex.org/W2121947440","https://openalex.org/W2124209874","https://openalex.org/W2128366083","https://openalex.org/W2132022337","https://openalex.org/W2142370107","https://openalex.org/W2157305458","https://openalex.org/W2165855437","https://openalex.org/W2316678214","https://openalex.org/W2401005551","https://openalex.org/W2527752690","https://openalex.org/W2914201910","https://openalex.org/W4292081303","https://openalex.org/W6608852248","https://openalex.org/W6675354045","https://openalex.org/W6679191575"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,46,77],"examine":[4,101],"the":[5,57,128,134],"use":[6,135],"of":[7,27,38,50,60,72,104,136,147,150],"autonomic":[8,58,73],"clustering":[9,51,59,74,84,132],"algorithms":[10],"on":[11,70,80],"temporal":[12,43,61,129],"graph":[13,44,62,140],"topologies":[14],"representing":[15],"mobile":[16],"communication":[17],"networks.":[18],"We":[19,64,96,122,142],"introduce":[20,53],"basic":[21,102],"group-based":[22],"mobility":[23,68],"scenarios":[24],"including":[25],"periods":[26,49],"overlapping":[28],"group":[29,67],"clusters":[30],"and":[31,35,76,92,100,106,108,117,152],"present":[32,97],"both":[33,114],"emulation":[34],"simulation":[36],"models":[37],"these":[39],"scenarios.":[40],"From":[41],"extracted":[42],"models,":[45],"demonstrate":[47,110,124],"how":[48],"overlap":[52],"specific":[54],"challenges":[55,111],"in":[56,79,126],"models.":[63],"perform":[65],"several":[66],"experiments":[69],"classes":[71],"approaches":[75],"focus":[78],"some":[81],"high":[82],"quality":[83,98,116],"algorithm":[85],"performers":[86],"including:":[87],"Spectral":[88],"clustering,":[89,91],"multilevel":[90],"information":[93],"theoretic":[94],"clustering.":[95],"metrics":[99],"measures":[103],"accuracy":[105],"stability":[107],"further":[109],"associated":[112],"with":[113,144],"measuring":[115],"effectively":[118],"partitioning":[119],"evolving":[120],"graphs.":[121],"then":[123],"improvements":[125],"detecting":[127],"\u201cground":[130],"truth\u201d":[131],"by":[133],"a":[137,145],"time-windowed,":[138],"weighted":[139],"representation.":[141],"conclude":[143],"discussion":[146],"future":[148],"areas":[149],"work":[151],"summarize":[153],"initial":[154],"experiments.":[155]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}