{"id":"https://openalex.org/W4416017971","doi":"https://doi.org/10.1145/3746252.3761203","title":"Community Partition-based Source Localization with Adaptive Observers Deployment","display_name":"Community Partition-based Source Localization with Adaptive Observers Deployment","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017971","doi":"https://doi.org/10.1145/3746252.3761203"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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/A5103406971","display_name":"Jinchen Shi","orcid":"https://orcid.org/0009-0006-5633-1484"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchen Shi","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0006-5633-1484","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004606411","display_name":"Yang Fang","orcid":"https://orcid.org/0000-0003-3565-2482"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Fang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-3565-2482","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060371329","display_name":"Zhen Tan","orcid":"https://orcid.org/0000-0001-8643-4683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8643-4683","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327595","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0003-2954-2076"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2954-2076","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Information Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103406971"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25116142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2663","last_page":"2673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.36169999837875366,"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":0.36169999837875366,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.056699998676776886,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.045499999076128006,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/software-deployment","display_name":"Software deployment","score":0.7595999836921692},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5852000117301941},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.548799991607666},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4950999915599823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4113999903202057},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3869999945163727}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7595999836921692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106000185012817},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5852000117301941},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.548799991607666},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42500001192092896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41510000824928284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W142564960","https://openalex.org/W317957491","https://openalex.org/W1974243612","https://openalex.org/W1985625141","https://openalex.org/W2015953751","https://openalex.org/W2094234423","https://openalex.org/W2095006675","https://openalex.org/W2111010823","https://openalex.org/W2111772797","https://openalex.org/W2112429379","https://openalex.org/W2116117181","https://openalex.org/W2131681506","https://openalex.org/W2307487336","https://openalex.org/W2344320841","https://openalex.org/W2432978112","https://openalex.org/W2528339895","https://openalex.org/W2547646153","https://openalex.org/W2549585534","https://openalex.org/W2579892984","https://openalex.org/W2605245004","https://openalex.org/W2748108713","https://openalex.org/W2767849480","https://openalex.org/W2977886427","https://openalex.org/W2987189073","https://openalex.org/W3007727665","https://openalex.org/W3016697875","https://openalex.org/W3037602852","https://openalex.org/W3160872503","https://openalex.org/W4214658166","https://openalex.org/W4220822815","https://openalex.org/W4283650047","https://openalex.org/W4328055021","https://openalex.org/W4367046795","https://openalex.org/W4385768112","https://openalex.org/W4385938608","https://openalex.org/W4387394243","https://openalex.org/W4392425523","https://openalex.org/W4401235904","https://openalex.org/W4401857145"],"related_works":[],"abstract_inverted_index":{"In":[0,116,140,163],"the":[1,10,15,34,64,67,75,117,141,146,164],"contemporary":[2],"era,":[3],"characterized":[4],"by":[5,72],"an":[6,167],"accelerated":[7],"development":[8],"in":[9,39,47,88,92,181,191],"domain":[11],"of":[12,17,24,33,36,44,69,113],"social":[13],"networks,":[14],"phenomenon":[16],"fake":[18],"news":[19],"has":[20],"attained":[21],"unprecedented":[22],"levels":[23],"prevalence,":[25],"exerting":[26],"substantial":[27],"detrimental":[28],"influence":[29],"on":[30,154],"society.":[31],"Identification":[32],"sources":[35],"such":[37],"information":[38,94],"a":[40,130],"timely":[41],"manner":[42],"is":[43,122,135,172],"paramount":[45],"importance":[46],"order":[48],"to":[49,149,174],"prevent":[50],"further":[51],"damage.":[52],"Existing":[53],"source":[54,82,169],"localization":[55,83],"methods":[56,190],"can":[57],"be":[58],"categorized":[59],"into":[60],"two":[61],"distinct":[62],"approaches:":[63],"first":[65,118,147],"involves":[66],"deployment":[68],"observers":[70],"followed":[71],"localization,":[73],"while":[74],"second":[76,142],"employs":[77],"traditional":[78],"community":[79,86,120,155,158],"partitioning":[80,121,159],"for":[81],"without":[84],"considering":[85],"structure":[87],"observer":[89,152,161],"deployment,":[90],"resulting":[91],"suboptimal":[93],"acquisition.":[95],"To":[96],"address":[97],"this":[98],"issue,":[99],"we":[100,144],"propose":[101],"Community":[102],"Partition-Based":[103],"Source":[104],"Localization":[105],"with":[106,127,138,160],"Adaptive":[107],"Observers":[108],"Deployment":[109],"(CSOL),":[110],"which":[111],"consists":[112],"three":[114],"stages:":[115],"stage,":[119,143,166],"achieved":[123],"using":[124],"contrastive":[125],"learning":[126],"optimization":[128],"and":[129,177,194],"feature":[131],"extraction":[132],"module":[133],"that":[134,185],"highly":[136],"correlated":[137],"partition.":[139],"are":[145],"work":[148],"adaptively":[150],"deploy":[151],"based":[153],"importance,":[156],"integrating":[157],"placement.":[162],"third":[165],"early":[168],"estimation":[170],"strategy":[171],"employed":[173],"enhance":[175],"efficiency":[176],"accuracy.":[178],"Experimental":[179],"results":[180],"real-world":[182],"networks":[183],"demonstrate":[184],"CSOL":[186],"outperforms":[187],"other":[188],"SOTA":[189],"both":[192],"accuracy":[193],"efficiency.":[195]},"counts_by_year":[],"updated_date":"2025-11-08T23:25:12.792448","created_date":"2025-11-08T00:00:00"}
