{"id":"https://openalex.org/W1591516103","doi":"https://doi.org/10.1109/icde.2015.7113346","title":"A tale of three graphs: Sampling design on hybrid social-affiliation networks","display_name":"A tale of three graphs: Sampling design on hybrid social-affiliation networks","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1591516103","doi":"https://doi.org/10.1109/icde.2015.7113346","mag":"1591516103"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2015.7113346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","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/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":true,"raw_author_name":"Junzhou Zhao","raw_affiliation_strings":["MOEKLINNS Lab, Xi'an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"MOEKLINNS Lab, Xi'an Jiaotong University, 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":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"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","Dept of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept 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/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Don Towsley","raw_affiliation_strings":["School of Computer Science, University of Massachusetts, Amherst, USA","School of Computer Science, University of Massachusetts at Amherst, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"School of Computer Science, University of Massachusetts at Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022240408","display_name":"Pinghui Wang","orcid":"https://orcid.org/0000-0001-5779-6108"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinghui Wang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Hong Kong","Huawei Noah\u2019s Ark Lab, Hong Kong#TAB#"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, Hong Kong#TAB#","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"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":"Xiaohong Guan","raw_affiliation_strings":["MOEKLINNS Lab, Xi'an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"MOEKLINNS Lab, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007402211"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.1473,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86649202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9952999949455261,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896860003471375},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5551234483718872},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5167555212974548},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.49135032296180725},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46381089091300964},{"id":"https://openalex.org/keywords/random-geometric-graph","display_name":"Random geometric graph","score":0.45308366417884827},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.4367958903312683},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.41421374678611755},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.2703043222427368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2072291374206543},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.14977991580963135},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.08024135231971741},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07503587007522583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07432419061660767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896860003471375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5551234483718872},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5167555212974548},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.49135032296180725},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46381089091300964},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.45308366417884827},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.4367958903312683},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.41421374678611755},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.2703043222427368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2072291374206543},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.14977991580963135},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.08024135231971741},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07503587007522583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07432419061660767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2015.7113346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1524314678","https://openalex.org/W1562618793","https://openalex.org/W1614522028","https://openalex.org/W1992804945","https://openalex.org/W1992899822","https://openalex.org/W2003741412","https://openalex.org/W2007168590","https://openalex.org/W2008620264","https://openalex.org/W2015186536","https://openalex.org/W2038131881","https://openalex.org/W2061901927","https://openalex.org/W2072211488","https://openalex.org/W2081082600","https://openalex.org/W2085962141","https://openalex.org/W2089418726","https://openalex.org/W2089953722","https://openalex.org/W2097050150","https://openalex.org/W2103799649","https://openalex.org/W2105241801","https://openalex.org/W2110117460","https://openalex.org/W2110953678","https://openalex.org/W2127503167","https://openalex.org/W2137135938","https://openalex.org/W2147256592","https://openalex.org/W2152046791","https://openalex.org/W2159397589","https://openalex.org/W2159741581","https://openalex.org/W2162133352","https://openalex.org/W2171468534","https://openalex.org/W2397992951","https://openalex.org/W3032120536","https://openalex.org/W3104563092","https://openalex.org/W4242087913","https://openalex.org/W4292691288","https://openalex.org/W4302617909","https://openalex.org/W6631382920","https://openalex.org/W6633804872","https://openalex.org/W6648673866","https://openalex.org/W6712611898"],"related_works":["https://openalex.org/W2782929340","https://openalex.org/W2179240077","https://openalex.org/W59125150","https://openalex.org/W2963133557","https://openalex.org/W1590359421","https://openalex.org/W2130919150","https://openalex.org/W2155003029","https://openalex.org/W4214904560","https://openalex.org/W1578200831","https://openalex.org/W57782380"],"abstract_inverted_index":{"Random":[0],"walk-based":[1],"graph":[2,26,70,77,85,113,122,154],"sampling":[3,114,119,143,173],"methods":[4,144],"have":[5],"become":[6],"increasingly":[7],"popular":[8],"and":[9,39,78,82,137,156,163],"important":[10],"for":[11],"characterizing":[12],"large-scale":[13],"complex":[14],"networks.":[15],"While":[16],"powerful,":[17],"they":[18],"are":[19],"known":[20],"to":[21,74,111,151,166],"exhibit":[22],"problems":[23],"when":[24,89,117],"the":[25,33,83,112,133,168],"is":[27,71,123],"loosely":[28],"connected,":[29],"which":[30],"slows":[31],"down":[32],"convergence":[34],"of":[35,135,170],"a":[36,68,96,102,120,147],"random":[37],"walk":[38],"can":[40,128],"result":[41],"in":[42,63],"poor":[43],"estimation":[44],"accuracy.":[45],"In":[46,65],"this":[47],"work,":[48],"we":[49,100,127],"observe":[50],"that":[51],"many":[52,66],"graphs":[53,94],"under":[54],"study,":[55],"called":[56,101],"target":[57,69,84,121,153],"graphs,":[58],"usually":[59],"do":[60],"not":[61],"exist":[62],"isolation.":[64],"situations,":[67],"often":[72],"related":[73],"an":[75,79],"auxiliary":[76,136],"affiliation":[80,138],"graph,":[81],"becomes":[86],"better":[87],"connected":[88],"viewed":[90],"from":[91],"these":[92,171],"three":[93,142],"as":[95],"whole,":[97],"or":[98,125],"what":[99],"hybrid":[103,148],"social-affiliation":[104,149],"network.":[105],"This":[106],"viewpoint":[107],"brings":[108],"extra":[109],"benefits":[110],"framework,":[115],"e.g.,":[116],"directly":[118],"difficult":[124],"inefficient,":[126],"efficiently":[129],"sample":[130],"it":[131],"with":[132],"assistance":[134],"graphs.":[139],"We":[140],"propose":[141],"on":[145,160],"such":[146],"network":[150],"estimate":[152],"characteristics,":[155],"conduct":[157],"extensive":[158],"experiments":[159],"both":[161],"synthetic":[162],"real":[164],"datasets,":[165],"demonstrate":[167],"effectiveness":[169],"new":[172],"methods.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}