{"id":"https://openalex.org/W4290943590","doi":"https://doi.org/10.1145/3534678.3542678","title":"Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance","display_name":"Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290943590","doi":"https://doi.org/10.1145/3534678.3542678"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3542678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113358096","display_name":"Hongwen Song","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongwen Song","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076902910","display_name":"Mingyue Tang","orcid":"https://orcid.org/0000-0003-1326-5553"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyue Tang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042656326","display_name":"Le\u00f3n Danon","orcid":"https://orcid.org/0000-0002-7076-1871"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leon Danon","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050595999","display_name":"\u00ddmir Vigf\u00fasson","orcid":"https://orcid.org/0000-0002-6812-4515"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ymir Vigfusson","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006897094"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":2.7387,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92096774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4733","last_page":"4742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9761999845504761,"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/phone","display_name":"Phone","score":0.7059265375137329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505541801452637},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.5365360379219055},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4497775435447693},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3351376950740814},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2441484034061432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24381312727928162},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1547568440437317}],"concepts":[{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.7059265375137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505541801452637},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.5365360379219055},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4497775435447693},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3351376950740814},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2441484034061432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24381312727928162},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1547568440437317},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3534678.3542678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/64643d97-befc-4f5b-bcce-64442bdc5561","is_oa":false,"landing_page_url":"https://hdl.handle.net/1983/64643d97-befc-4f5b-bcce-64442bdc5561","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, C, Song, H, Tang, M, Danon, L & Vigfusson, Y 2022, Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. in KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 4733-4742. https://doi.org/10.1145/3534678.3542678","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/64643d97-befc-4f5b-bcce-64442bdc5561","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/64643d97-befc-4f5b-bcce-64442bdc5561","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, C, Song, H, Tang, M, Danon, L & Vigfusson, Y 2022, Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. in KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 4733-4742. https://doi.org/10.1145/3534678.3542678","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8597009950","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1882303714","https://openalex.org/W1993035486","https://openalex.org/W1994682066","https://openalex.org/W2034777643","https://openalex.org/W2038819732","https://openalex.org/W2101015150","https://openalex.org/W2101108259","https://openalex.org/W2116341502","https://openalex.org/W2121895216","https://openalex.org/W2122646361","https://openalex.org/W2135292370","https://openalex.org/W2135802777","https://openalex.org/W2162301084","https://openalex.org/W2218076943","https://openalex.org/W2278186031","https://openalex.org/W2429068280","https://openalex.org/W2495491024","https://openalex.org/W2766761849","https://openalex.org/W2767455180","https://openalex.org/W2793461383","https://openalex.org/W2808771744","https://openalex.org/W2963523189","https://openalex.org/W2966841471","https://openalex.org/W3021970994","https://openalex.org/W3033396682","https://openalex.org/W3121934785","https://openalex.org/W3131801704","https://openalex.org/W3188581123","https://openalex.org/W4292402161","https://openalex.org/W4299689471"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W3046929440","https://openalex.org/W2081336949","https://openalex.org/W1587070322","https://openalex.org/W2390120011","https://openalex.org/W2899473595","https://openalex.org/W2996860867","https://openalex.org/W3196218441","https://openalex.org/W3131621892","https://openalex.org/W2348565945"],"abstract_inverted_index":{"Global":[0],"monitoring":[1],"of":[2,77,164],"novel":[3],"diseases":[4],"and":[5,58,79,174],"outbreaks":[6],"is":[7,19],"crucial":[8],"for":[9,38,41,51],"pandemic":[10],"prevention.":[11],"To":[12],"this":[13,83],"end,":[14],"movement":[15],"data":[16,36,168],"from":[17,64,130],"cell-phones":[18],"already":[20,49],"used":[21],"to":[22,71,90],"augment":[23],"epidemiological":[24],"models.":[25],"Recent":[26],"work":[27],"has":[28],"posed":[29],"individual":[30,145],"cell-phone":[31,98,122],"metadata":[32,99],"as":[33],"a":[34],"universal":[35,166],"source":[37],"syndromic":[39],"surveillance":[40,95],"two":[42],"key":[43],"reasons:":[44],"(1)":[45],"these":[46],"records":[47,124],"are":[48],"collected":[50],"billing":[52],"purposes":[53],"in":[54,75,154],"virtually":[55],"every":[56],"country":[57],"(2)":[59],"they":[60],"could":[61,169],"allow":[62],"deviations":[63],"people's":[65],"routine":[66],"behaviors":[67],"during":[68,132],"symptomatic":[69],"illness":[70],"be":[72],"detected,":[73],"both":[74],"terms":[76],"mobility":[78],"social":[80],"interactions.":[81],"In":[82],"paper,":[84],"we":[85,106,137],"develop":[86],"the":[87,133,151,155,165],"necessary":[88],"models":[89],"conduct":[91],"population-level":[92],"infectious":[93],"disease":[94],"by":[96],"using":[97],"individually":[100],"linked":[101,126],"with":[102,127],"health":[103,172],"outcomes.":[104],"Specifically,":[105],"propose":[107],"GraphDNA---a":[108],"model":[109],"that":[110,139,161],"builds":[111],"Graph":[112],"neural":[113],"networks":[114],"(GNNs)":[115],"into":[116],"Dynamic":[117],"Network":[118],"Anomaly":[119],"detection.":[120],"Using":[121],"call":[123],"(CDR)":[125],"diagnostic":[128],"information":[129],"Iceland":[131],"H1N1v":[134],"influenza":[135],"outbreak,":[136],"show":[138],"GraphDNA":[140],"outperforms":[141],"state-of-the-art":[142],"baselines":[143],"on":[144],"Date-of-Diagnosis":[146],"(DoD)":[147],"prediction,":[148],"while":[149],"tracking":[150],"epidemic":[152,176],"signal":[153],"overall":[156],"population.":[157],"Our":[158],"results":[159],"suggest":[160],"proper":[162],"modeling":[163],"CDR":[167],"inform":[170],"public":[171],"officials":[173],"bolster":[175],"preparedness":[177],"measures.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}