{"id":"https://openalex.org/W2121313492","doi":"https://doi.org/10.1109/ciss.2014.6814143","title":"Detecting multiple information sources in networks under the SIR model","display_name":"Detecting multiple information sources in networks under the SIR model","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2121313492","doi":"https://doi.org/10.1109/ciss.2014.6814143","mag":"2121313492"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2014.6814143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","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/A5101667213","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0001-5489-1505"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, United States","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, United States","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013538892","display_name":"K. J. Zhu","orcid":"https://orcid.org/0000-0002-4365-8043"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhu","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, United States","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, United States","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358933","display_name":"Lei Ying","orcid":"https://orcid.org/0000-0001-7955-9445"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ying","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, AZ, United States","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, AZ, United States","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States, 85287","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":4.6993,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95431618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6599875092506409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549580693244934},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5940635800361633},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5775551795959473},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5185607075691223},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4759112000465393},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4159584045410156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4148625135421753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39768826961517334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36674654483795166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.296339750289917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21376949548721313}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6599875092506409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549580693244934},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5940635800361633},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5775551795959473},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5185607075691223},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4759112000465393},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4159584045410156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4148625135421753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39768826961517334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36674654483795166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.296339750289917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21376949548721313},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2014.6814143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.826.8814","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.826.8814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://inlab.lab.asu.edu/Publications/CheZhuYin_14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W114870970","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W1963907682","https://openalex.org/W1964241922","https://openalex.org/W1966006953","https://openalex.org/W2011014734","https://openalex.org/W2017368948","https://openalex.org/W2031490232","https://openalex.org/W2084531279","https://openalex.org/W2095006675","https://openalex.org/W2099924198","https://openalex.org/W2110227539","https://openalex.org/W2111772797","https://openalex.org/W2121313492","https://openalex.org/W2150105124","https://openalex.org/W2479032158","https://openalex.org/W2543832644","https://openalex.org/W2571239373","https://openalex.org/W2739830103","https://openalex.org/W3105272691","https://openalex.org/W3142588439","https://openalex.org/W4252678302","https://openalex.org/W6658353718","https://openalex.org/W6721136173"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583","https://openalex.org/W2801210103"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,28],"study":[4],"the":[5,15,21,42,46,55,76,81],"problem":[6],"of":[7,23,78,83],"detecting":[8],"multiple":[9],"information":[10,24],"sources":[11,25,57,79,85],"in":[12],"networks":[13,70],"under":[14],"Susceptible-Infected-Recovered":[16],"(SIR)":[17],"model.":[18],"First,":[19],"assuming":[20],"number":[22,77,82],"is":[26,86],"known,":[27],"develop":[29],"a":[30,51,59,65],"sample-path-based":[31],"algorithm,":[32],"named":[33],"clustering":[34],"and":[35,71],"localization,":[36],"for":[37,68,74],"trees.":[38],"For":[39],"g-regular":[40],"trees,":[41],"estimators":[43],"produced":[44],"by":[45],"proposed":[47],"algorithm":[48,67,73],"are":[49],"within":[50],"constant":[52],"distance":[53],"from":[54],"real":[56,84],"with":[58],"high":[60],"probability.":[61],"We":[62],"further":[63],"present":[64],"heuristic":[66],"general":[69],"an":[72],"estimating":[75],"when":[80],"unknown.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
