{"id":"https://openalex.org/W2761716478","doi":"https://doi.org/10.1109/infocom.2017.8057169","title":"Challenging the limits: Sampling online social networks with cost constraints","display_name":"Challenging the limits: Sampling online social networks with cost constraints","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2761716478","doi":"https://doi.org/10.1109/infocom.2017.8057169","mag":"2761716478"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2017.8057169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","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/A5100319817","display_name":"Xin Xu","orcid":"https://orcid.org/0009-0002-2319-1682"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622996","display_name":"Chul\u2010Ho Lee","orcid":"https://orcid.org/0000-0003-1570-8688"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chul-Ho Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050655327","display_name":"Do Young Eun","orcid":"https://orcid.org/0000-0002-1743-7482"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Do Young Eun","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8251,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92482161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9904000163078308,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6306418180465698},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4709430932998657},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18539565801620483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306418180465698},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4709430932998657},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18539565801620483},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2017.8057169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1524314678","https://openalex.org/W1823866642","https://openalex.org/W1987752153","https://openalex.org/W1994312128","https://openalex.org/W2004671457","https://openalex.org/W2007168590","https://openalex.org/W2052618365","https://openalex.org/W2074584493","https://openalex.org/W2085962141","https://openalex.org/W2103799649","https://openalex.org/W2106606323","https://openalex.org/W2110117460","https://openalex.org/W2114202040","https://openalex.org/W2115022330","https://openalex.org/W2127503167","https://openalex.org/W2137135938","https://openalex.org/W2138309709","https://openalex.org/W2142623799","https://openalex.org/W2143551222","https://openalex.org/W2146008005","https://openalex.org/W2147256592","https://openalex.org/W2152046791","https://openalex.org/W2155711776","https://openalex.org/W2157747946","https://openalex.org/W2168380307","https://openalex.org/W2170358724","https://openalex.org/W2170821604","https://openalex.org/W2216491059","https://openalex.org/W2755088640","https://openalex.org/W2761716478","https://openalex.org/W2802739963","https://openalex.org/W2964024029","https://openalex.org/W4245558686","https://openalex.org/W6682824764","https://openalex.org/W6685124485","https://openalex.org/W6744624032"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Graph":[0],"sampling":[1,36,100,130,159,164,190],"techniques":[2],"via":[3],"random":[4,55,65,146],"walk":[5],"crawling":[6],"have":[7,47],"been":[8,49],"popular":[9],"for":[10],"analyzing":[11],"statistical":[12],"characteristics":[13],"of":[14,35,44,64,71,99,129,195],"large":[15],"online":[16],"social":[17,72],"networks":[18],"due":[19],"to":[20,76,125,186],"simple":[21],"implementation":[22],"and":[23,37,67,163],"provable":[24],"guarantees":[25],"on":[26,41],"unbiased":[27,201],"estimates.":[28],"Despite":[29],"the":[30,33,42,54,61,68,80,97,133,145,155,174,204],"growing":[31],"popularity,":[32],"`cost'":[34],"its":[38],"true":[39],"impact":[40],"accuracy":[43],"estimates":[45,202],"still":[46],"not":[48],"carefully":[50],"studied.":[51],"In":[52],"addition,":[53],"walk-based":[56,147],"methods":[57],"inherently":[58],"suffer":[59],"from":[60],"sluggish":[62],"nature":[63],"walks":[66],"`slow-mixing'":[69],"structure":[70],"graphs,":[73],"thereby":[74],"leading":[75],"high":[77],"correlation":[78],"in":[79,85,87,107],"samples":[81],"obtained.":[82],"With":[83],"these":[84],"mind,":[86],"this":[88],"paper,":[89],"we":[90],"develop":[91],"a":[92,110,116,127],"mathematical":[93],"framework":[94],"such":[95],"that":[96],"cost":[98,135,167,206],"is":[101],"properly":[102],"taken":[103],"into":[104,115,144],"account,":[105],"which":[106,170,198],"turn":[108],"re-defines":[109],"widely":[111],"used":[112],"asymptotic":[113,118],"variance":[114],"cost-based":[117],"variance.":[119],"Our":[120],"new":[121],"metric":[122],"enables":[123],"us":[124],"compare":[126],"class":[128],"policies":[131],"under":[132,203],"same":[134,205],"constraint,":[136],"integrating":[137],"\u201crandom":[138],"skipping\u201d":[139],"(bypassing":[140],"nodes":[141],"without":[142],"sampling)":[143],"sampling.":[148],"We":[149,179],"obtain":[150],"an":[151,193],"optimal":[152],"policy":[153],"striking":[154],"right":[156],"balance":[157],"between":[158],"quality":[160],"(less":[161],"correlation)":[162],"quantity":[165],"(higher":[166],"per":[168],"sample),":[169],"greatly":[171],"improves":[172],"over":[173],"usual":[175],"skip-free":[176],"crawling-based":[177],"samplers.":[178],"further":[180],"extend":[181],"our":[182],"framework,":[183],"enabling":[184],"one":[185],"design":[187],"more":[188],"sophisticated":[189],"strategies":[191],"with":[192],"array":[194],"control":[196],"knobs,":[197],"all":[199],"produce":[200],"constraint.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
