{"id":"https://openalex.org/W2443728350","doi":"https://doi.org/10.1109/icde.2016.7498312","title":"Minfer: A method of inferring motif statistics from sampled edges","display_name":"Minfer: A method of inferring motif statistics from sampled edges","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2443728350","doi":"https://doi.org/10.1109/icde.2016.7498312","mag":"2443728350"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022240408","display_name":"Pinghui Wang","orcid":"https://orcid.org/0000-0001-5779-6108"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinghui Wang","raw_affiliation_strings":["MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068489266","display_name":"John C. S. Lui","orcid":"https://orcid.org/0000-0001-7466-0384"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"John C.S. Lui","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036683370","display_name":"Don Towsley","orcid":"https://orcid.org/0000-0002-7808-7375"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Don Towsley","raw_affiliation_strings":["MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007402211","display_name":"Junzhou Zhao","orcid":"https://orcid.org/0000-0003-3476-8248"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhou Zhao","raw_affiliation_strings":["MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1050","last_page":"1061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.7856677174568176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5307037234306335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49792051315307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32195132970809937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2665196359157562},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08472257852554321}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.7856677174568176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5307037234306335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49792051315307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32195132970809937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2665196359157562},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08472257852554321},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2016.7498312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1482642810","https://openalex.org/W1512140523","https://openalex.org/W1560267311","https://openalex.org/W1994948074","https://openalex.org/W1998341696","https://openalex.org/W2004559608","https://openalex.org/W2007043634","https://openalex.org/W2021681605","https://openalex.org/W2031082424","https://openalex.org/W2050512329","https://openalex.org/W2066506515","https://openalex.org/W2068015060","https://openalex.org/W2073415627","https://openalex.org/W2074584493","https://openalex.org/W2086058820","https://openalex.org/W2089418726","https://openalex.org/W2094308804","https://openalex.org/W2103799649","https://openalex.org/W2108614537","https://openalex.org/W2110699703","https://openalex.org/W2110814195","https://openalex.org/W2115022330","https://openalex.org/W2116039228","https://openalex.org/W2123033955","https://openalex.org/W2124450885","https://openalex.org/W2124533460","https://openalex.org/W2124793767","https://openalex.org/W2127455097","https://openalex.org/W2128269848","https://openalex.org/W2142517301","https://openalex.org/W2143211346","https://openalex.org/W2145100112","https://openalex.org/W2146591355","https://openalex.org/W2153624566","https://openalex.org/W2158432527","https://openalex.org/W2159279931","https://openalex.org/W2161917555","https://openalex.org/W2181900708","https://openalex.org/W2296148711","https://openalex.org/W2588458088","https://openalex.org/W2620315948","https://openalex.org/W2962966240","https://openalex.org/W3217684393","https://openalex.org/W4230053343","https://openalex.org/W4298299405","https://openalex.org/W6628778578","https://openalex.org/W6663131243","https://openalex.org/W6686091084"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3170299350","https://openalex.org/W2368410102","https://openalex.org/W2605676258","https://openalex.org/W2368037387","https://openalex.org/W190186656","https://openalex.org/W2902352756","https://openalex.org/W2377079823","https://openalex.org/W2599962286"],"abstract_inverted_index":{"Characterizing":[0],"motif":[1,157,195],"(i.e.,":[2,131],"locally":[3],"connected":[4],"sub-graph":[5],"patterns)":[6],"statistics":[7,158],"is":[8,34,52,56,70,74],"important":[9],"for":[10],"understanding":[11],"complex":[12],"networks":[13,18],"such":[14,89,122],"as":[15,90,111,123],"online":[16],"social":[17],"and":[19,60,64,142,177,189,217],"communication":[20],"networks.":[21],"Previous":[22],"work":[23],"made":[24],"the":[25,29,46,49,79,85,99,166,185,192,204,215],"strong":[26],"assumption":[27],"that":[28],"graph":[30,50,109,119,188],"topology":[31,51],"of":[32,78,84,116,165,206,219],"interest":[33],"known":[35],"in":[36],"advance.":[37],"In":[38],"practice,":[39],"sometimes":[40],"researchers":[41,73],"have":[42],"to":[43,58,72,97,105,139,202],"deal":[44],"with":[45,135],"situation":[47],"where":[48],"unknown":[53],"because":[54],"it":[55],"expensive":[57],"collect":[59,140],"store":[61],"all":[62],"topological":[63],"meta":[65],"information.":[66],"Hence,":[67],"typically":[68],"what":[69],"available":[71],"only":[75],"a":[76,82,107,112,136,144,150,154,175,179],"snapshot":[77],"graph,":[80,146],"i.e.,":[81],"subgraph":[83],"graph.":[86,169],"Crawling":[87],"methods":[88,103],"breadth":[91],"first":[92],"sampling":[93,130],"can":[94],"be":[95,160],"used":[96],"generate":[98,143],"snapshot.":[100],"However,":[101],"these":[102],"fail":[104],"sample":[106,132],"streaming":[108],"represented":[110],"high":[113],"speed":[114],"stream":[115],"edges.":[117],"Therefore,":[118],"mining":[120],"applications":[121],"network":[124],"traffic":[125],"monitoring":[126],"use":[127],"random":[128],"edge":[129,134],"each":[133],"fixed":[137],"probability)":[138],"edges":[141],"sampled":[145],"which":[147,183],"we":[148,173],"called":[149,181],"\u201cRESampled":[151],"graph\u201d.":[152],"Clearly,":[153],"RESampled":[155,187],"graph's":[156,194],"may":[159],"quite":[161],"different":[162],"from":[163],"those":[164],"underlying":[167,193],"original":[168],"To":[170],"resolve":[171],"this,":[172],"propose":[174],"framework":[176],"implement":[178],"system":[180],"Minfer,":[182],"takes":[184],"given":[186],"accurately":[190],"infers":[191],"statistics.":[196],"We":[197],"also":[198],"apply":[199],"Fisher":[200],"information":[201],"bound":[203],"errors":[205],"our":[207,220],"estimates.":[208],"Experiments":[209],"using":[210],"large":[211],"scale":[212],"datasets":[213],"show":[214],"accuracy":[216],"efficiency":[218],"method.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}