{"id":"https://openalex.org/W4290973949","doi":"https://doi.org/10.1109/icc45855.2022.9838272","title":"The Effect of Source Location on the Effectiveness of Source Detection in Finite Networks","display_name":"The Effect of Source Location on the Effectiveness of Source Detection in Finite Networks","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290973949","doi":"https://doi.org/10.1109/icc45855.2022.9838272"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838272","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","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/A5039230702","display_name":"Danni Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danni Qu","raw_affiliation_strings":["Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009280446","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0001-8575-3420"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446931","display_name":"Jiahui Wang","orcid":"https://orcid.org/0009-0004-8795-7442"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wang","raw_affiliation_strings":["Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020474429","display_name":"Jiaojiao Jiang","orcid":"https://orcid.org/0000-0001-7307-8114"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiaojiao Jiang","raw_affiliation_strings":["University of New South Wales,School of Computer Science and Engineering,Sydney,Australia","School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Computer Science and Engineering,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China,310018","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039230702"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13490566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"286","issue":null,"first_page":"4104","last_page":"4113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9944999814033508,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618277668952942},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6531117558479309},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.572097897529602},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5644687414169312},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5447027683258057},{"id":"https://openalex.org/keywords/data-source","display_name":"Data source","score":0.49615058302879333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48205623030662537},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.47457268834114075},{"id":"https://openalex.org/keywords/water-source","display_name":"Water source","score":0.4191528558731079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39126262068748474},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.10686555504798889},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1023888885974884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10013160109519958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07982179522514343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618277668952942},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6531117558479309},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.572097897529602},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5644687414169312},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5447027683258057},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.49615058302879333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48205623030662537},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.47457268834114075},{"id":"https://openalex.org/C2991804310","wikidata":"https://www.wikidata.org/wiki/Q1061108","display_name":"Water source","level":2,"score":0.4191528558731079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39126262068748474},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.10686555504798889},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1023888885974884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10013160109519958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07982179522514343},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.0},{"id":"https://openalex.org/C524765639","wikidata":"https://www.wikidata.org/wiki/Q1501619","display_name":"Water resource management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838272","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2023223364","https://openalex.org/W2046246518","https://openalex.org/W2073415627","https://openalex.org/W2078327425","https://openalex.org/W2085330768","https://openalex.org/W2086367126","https://openalex.org/W2095006675","https://openalex.org/W2111772797","https://openalex.org/W2150105124","https://openalex.org/W2479032158","https://openalex.org/W2528339895","https://openalex.org/W2543832644","https://openalex.org/W2739658809","https://openalex.org/W2802135473","https://openalex.org/W2802512820","https://openalex.org/W2941407859","https://openalex.org/W2963858135","https://openalex.org/W2983244957","https://openalex.org/W3036843059","https://openalex.org/W4296538157","https://openalex.org/W6638549206","https://openalex.org/W6683294750","https://openalex.org/W6741828091","https://openalex.org/W6780189828"],"related_works":["https://openalex.org/W2269472958","https://openalex.org/W3140644504","https://openalex.org/W4287240320","https://openalex.org/W3173251459","https://openalex.org/W4320719121","https://openalex.org/W4389221653","https://openalex.org/W2990163449","https://openalex.org/W2998705539","https://openalex.org/W4283077896","https://openalex.org/W2082318684"],"abstract_inverted_index":{"The":[0],"topic":[1],"of":[2,22,91,125,148,192],"source":[3,14,40,45,86,92,126,150,160],"identification":[4,15],"has":[5],"attracted":[6],"wide":[7],"attention":[8],"from":[9],"researchers.":[10],"In":[11],"practice,":[12],"the":[13,20,85,89,108,123,146,149,167,185,190],"method":[16,105],"aims":[17],"to":[18,106,121,166,172,184,188,194],"locate":[19],"sources":[21,59,68,164,182],"rumors,":[23],"computer":[24],"viruses,":[25],"and":[26,138],"epidemics,":[27],"such":[28],"as":[29],"COVID-19.":[30],"However,":[31],"there":[32],"are":[33,48,60],"two":[34,139],"main":[35],"problems":[36],"with":[37,56],"existing":[38],"propagation":[39],"detection":[41,46,73,93,127,153,161,174,193],"methods.":[42,128,162],"First,":[43],"most":[44],"methods":[47],"based":[49,110],"on":[50,111,134],"infinite":[51],"networks,":[52],"not":[53],"in":[54,64,75,94,155],"line":[55],"reality.":[57],"Second,":[58],"often":[61,69],"randomly":[62],"selected":[63],"simulations,":[65],"but":[66],"different":[67,72,118],"cause":[70],"significantly":[71],"results":[74],"real-world":[76,140],"applications.":[77],"To":[78],"this":[79],"end,":[80],"we":[81,130],"study":[82],"how":[83],"does":[84],"location":[87,147],"impact":[88],"effectiveness":[90,124,154],"finite":[95,156],"networks.":[96,141],"This":[97],"paper":[98],"first":[99],"proposes":[100],"a":[101,196],"diameter-based":[102],"node":[103],"division":[104],"classify":[107],"nodes":[109],"their":[112],"structural":[113],"location.":[114],"We":[115],"further":[116],"offer":[117],"evaluation":[119],"indicators":[120],"measure":[122],"Then,":[129],"conduct":[131],"systematic":[132],"experiments":[133,143],"three":[135],"synthetic":[136],"networks":[137,157],"Our":[142],"demonstrate":[144],"that":[145,178],"directly":[151],"effects":[152],"for":[158],"all":[159],"Specifically,":[163],"closer":[165],"network":[168,186],"boundary":[169,187],"will":[170],"lead":[171],"worse":[173],"performance.":[175],"It":[176],"means":[177],"attackers":[179],"can":[180],"choose":[181],"close":[183],"reduce":[189],"probability":[191],"achieve":[195],"larger":[197],"spreading":[198],"scale.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}