{"id":"https://openalex.org/W3093631941","doi":"https://doi.org/10.1145/3340531.3411867","title":"WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks","display_name":"WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093631941","doi":"https://doi.org/10.1145/3340531.3411867","mag":"3093631941"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3411867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","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/A5041159626","display_name":"Bay-Yuan Hsu","orcid":"https://orcid.org/0000-0001-8080-3951"},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Bay-Yuan Hsu","raw_affiliation_strings":["National Taipei University, New Taipei City, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taipei University, New Taipei City, Taiwan Roc","institution_ids":["https://openalex.org/I99613584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012064471","display_name":"Chih-Ya Shen","orcid":"https://orcid.org/0000-0002-0377-7945"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ya Shen","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015367567","display_name":"Ming\u2010Yi Chang","orcid":"https://orcid.org/0000-0001-6422-0246"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Yi Chang","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041159626"],"corresponding_institution_ids":["https://openalex.org/I99613584"],"apc_list":null,"apc_paid":null,"fwci":1.4604,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82104994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9966999888420105,"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":0.7530173063278198},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6630549430847168},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.65769362449646},{"id":"https://openalex.org/keywords/id-ego-and-super-ego","display_name":"Id, ego and super-ego","score":0.6274925470352173},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5180573463439941},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5087915062904358},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4884756803512573},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4877467751502991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4246489405632019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42423751950263977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36406785249710083},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.194230318069458},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14727407693862915},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1288968324661255},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12325561046600342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530173063278198},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6630549430847168},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.65769362449646},{"id":"https://openalex.org/C9180747","wikidata":"https://www.wikidata.org/wiki/Q486893","display_name":"Id, ego and super-ego","level":2,"score":0.6274925470352173},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5180573463439941},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5087915062904358},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4884756803512573},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4877467751502991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4246489405632019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42423751950263977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36406785249710083},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.194230318069458},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14727407693862915},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1288968324661255},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12325561046600342},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3411867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1207551535","display_name":null,"funder_award_id":"MOST 109-2636-E-007 -019 -, MOST 108-2218-E-468 -002 -","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W144868394","https://openalex.org/W248604449","https://openalex.org/W1973846084","https://openalex.org/W2006304124","https://openalex.org/W2022704179","https://openalex.org/W2036836182","https://openalex.org/W2046383614","https://openalex.org/W2118745042","https://openalex.org/W2125895010","https://openalex.org/W2146591355","https://openalex.org/W2147256592","https://openalex.org/W2155461593","https://openalex.org/W2169002304","https://openalex.org/W2212315060","https://openalex.org/W2426056643","https://openalex.org/W2475072863","https://openalex.org/W2495127032","https://openalex.org/W2528743325","https://openalex.org/W2547646153","https://openalex.org/W2574388534","https://openalex.org/W2593265540","https://openalex.org/W2605272442","https://openalex.org/W2607500032","https://openalex.org/W2739946816","https://openalex.org/W2788730644","https://openalex.org/W2788857209","https://openalex.org/W2808856341","https://openalex.org/W2889133923","https://openalex.org/W2890158617","https://openalex.org/W2904064797","https://openalex.org/W2937419751","https://openalex.org/W2963316155","https://openalex.org/W2963597852","https://openalex.org/W2963709987","https://openalex.org/W2973831024","https://openalex.org/W3101888373","https://openalex.org/W4242336842"],"related_works":["https://openalex.org/W2250140425","https://openalex.org/W2122085508","https://openalex.org/W2734587838","https://openalex.org/W2091018730","https://openalex.org/W2373126865","https://openalex.org/W2389064843","https://openalex.org/W2078736197","https://openalex.org/W2098669189","https://openalex.org/W2389272265","https://openalex.org/W1543345676"],"abstract_inverted_index":{"The":[0],"data":[1,30,71,102,160],"of":[2,48,85,144,154,212],"egocentric":[3],"networks":[4,146],"(ego":[5],"networks)":[6],"are":[7,41,60],"very":[8],"important":[9,62],"for":[10,69,131],"evaluating":[11],"and":[12,16,43,81,169,196,198,210],"validating":[13],"the":[14,27,83,86,91,97,148,152,155,193,208],"algorithms":[15],"machine":[17],"learning":[18],"approaches":[19,40],"in":[20,110,135],"Online":[21,136],"Social":[22,137],"Networks":[23,138],"(OSNs).":[24],"Nevertheless,":[25],"obtaining":[26],"ego":[28,87,100,145],"network":[29,101],"from":[31,147],"OSNs":[32],"is":[33,57,161,167],"not":[34,104],"a":[35,45,124,142,171],"trivial":[36],"task.":[37],"Conventional":[38],"manual":[39],"time-consuming,":[42],"only":[44],"small":[46],"number":[47],"users":[49,156],"would":[50],"agree":[51],"to":[52,77,95,118,140,157,191,206],"contribute":[53,78,158],"their":[54,79,159],"data.":[55],"This":[56],"because":[58],"there":[59],"two":[61,93],"factors":[63,94],"that":[64,151,165],"should":[65],"be":[66],"considered":[67],"simultaneously":[68],"this":[70,111,120],"acquisition":[72],"task:":[73],"i)":[74],"users'":[75],"willingness":[76,153],"data,":[80],"ii)":[82],"structure":[84],"network.":[88],"However,":[89],"addressing":[90],"above":[92],"obtain":[96],"more":[98],"complete":[99],"has":[103],"received":[105],"much":[106],"research":[107,126],"attention.":[108],"Therefore,":[109],"paper,":[112],"we":[113],"make":[114],"our":[115,213],"first":[116],"attempt":[117],"address":[119],"issue":[121],"by":[122],"proposing":[123],"new":[125],"problem,":[127],"named":[128,175],"Willingness":[129,181],"Maximization":[130],"Ego":[132,176],"Network":[133,177],"Extraction":[134],"(WMEgo),":[139],"identify":[141],"set":[143],"OSN":[149],"such":[150],"maximized.":[162],"We":[163,183],"prove":[164],"WMEgo":[166,195],"NP-hard":[168],"propose":[170],"1/2*(1":[172],"1/e)-approximation":[173],"algorithm,":[174],"Identification":[178],"with":[179,188],"Maximum":[180],"(EIMW).":[182],"conduct":[184],"an":[185],"evaluation":[186],"study":[187],"672":[189],"volunteers":[190],"validate":[192],"proposed":[194],"EIMW,":[197],"perform":[199],"extensive":[200],"experiments":[201],"on":[202],"multiple":[203],"real":[204],"datasets":[205],"demonstrate":[207],"effectiveness":[209],"efficiency":[211],"approach.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
