{"id":"https://openalex.org/W2787635093","doi":"https://doi.org/10.1109/vtcfall.2017.8288228","title":"Optimal Question Answering Routing in Dynamic Online Social Networks","display_name":"Optimal Question Answering Routing in Dynamic Online Social Networks","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2787635093","doi":"https://doi.org/10.1109/vtcfall.2017.8288228","mag":"2787635093"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8288228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","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/A5026477527","display_name":"Imad Ali","orcid":"https://orcid.org/0000-0001-5569-3762"},"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"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Imad Ali","raw_affiliation_strings":["Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan","Taiwan International Graduate Program in Social Networks and Human-Centered Computing Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Taiwan International Graduate Program in Social Networks and Human-Centered Computing Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052576795","display_name":"Ronald Y. Chang","orcid":"https://orcid.org/0000-0003-4620-6824"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ronald Y. Chang","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045448633","display_name":"Jo-Chi Chuang","orcid":null},"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":"Jo-Chi Chuang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034696208","display_name":"Cheng-Hsin Hsu","orcid":"https://orcid.org/0000-0002-8116-2591"},"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":"Cheng-Hsin Hsu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076091989","display_name":"Cenk M. Yeti\u015f","orcid":"https://orcid.org/0000-0002-6198-4555"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cenk M. Yetis","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88550022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":1.0,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10028","display_name":"Topic Modeling","score":0.9749000072479248,"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/bottleneck","display_name":"Bottleneck","score":0.763353705406189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398995518684387},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5440931916236877},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5211203694343567},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.508108377456665},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.5080153942108154},{"id":"https://openalex.org/keywords/adaptive-routing","display_name":"Adaptive routing","score":0.5058724284172058},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4636358618736267},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.41402631998062134},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.39210495352745056},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.255690336227417},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22791224718093872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22403985261917114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07631155848503113},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.0696554183959961}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.763353705406189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398995518684387},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5440931916236877},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5211203694343567},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.508108377456665},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.5080153942108154},{"id":"https://openalex.org/C24856439","wikidata":"https://www.wikidata.org/wiki/Q352483","display_name":"Adaptive routing","level":5,"score":0.5058724284172058},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4636358618736267},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.41402631998062134},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.39210495352745056},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.255690336227417},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22791224718093872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22403985261917114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07631155848503113},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0696554183959961},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.0},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8288228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W49643808","https://openalex.org/W1558703235","https://openalex.org/W1989298268","https://openalex.org/W2024635814","https://openalex.org/W2059273141","https://openalex.org/W2060874178","https://openalex.org/W2078784669","https://openalex.org/W2093745306","https://openalex.org/W2097331574","https://openalex.org/W2127387319","https://openalex.org/W2132138616","https://openalex.org/W2141498659","https://openalex.org/W2145604831","https://openalex.org/W2157025439","https://openalex.org/W2161118554","https://openalex.org/W2163881971","https://openalex.org/W2473099193","https://openalex.org/W2532890491","https://openalex.org/W3141829038","https://openalex.org/W4301425011","https://openalex.org/W6683901012"],"related_works":["https://openalex.org/W2726467123","https://openalex.org/W2064726690","https://openalex.org/W4252678288","https://openalex.org/W4254065731","https://openalex.org/W1607297154","https://openalex.org/W4210820789","https://openalex.org/W4237782192","https://openalex.org/W2913177154","https://openalex.org/W4235131201","https://openalex.org/W4232793539"],"abstract_inverted_index":{"Social-network-based":[0],"Question":[1],"Answering":[2],"(Q&A)":[3],"systems":[4],"are":[5],"recently":[6],"emanated":[7],"due":[8],"to":[9,93,108,127,147],"their":[10],"capabilities":[11],"of":[12,88,158,162,169],"outperforming":[13],"classical":[14],"search":[15],"engines":[16],"in":[17,73,91,103],"answering":[18],"non-factual":[19],"questions.":[20],"Social":[21],"network":[22],"users":[23],"have":[24],"different":[25],"expertises":[26,63],"and":[27,30,39,64,137,171],"activity":[28],"times,":[29,38],"identifying":[31],"answerers":[32,60,102],"with":[33,61,68],"proper":[34],"expertises,":[35],"short":[36],"response":[37,41,71,111,131,143,177],"high":[40],"rates":[42],"is":[43],"challenging":[44],"for":[45,84],"Q&A":[46,56,122,180],"systems.":[47,186],"To":[48],"address":[49],"this":[50],"problem,":[51],"we":[52],"propose":[53],"an":[54],"optimal":[55],"system":[57,79,181],"that":[58,120],"identifies":[59],"required":[62],"routes":[65],"the":[66,86,95,104,110,134,140,150,156,160,166,172,175,184],"questions":[67],"minimum":[69],"possible":[70],"time":[72,144],"dynamic":[74],"social":[75],"networks.":[76],"Our":[77],"proposed":[78],"uses":[80],"a":[81],"hybrid":[82],"model":[83],"estimating":[85],"expertise":[87],"each":[89],"user,":[90],"order":[92],"identify":[94],"suitable":[96],"answerers;":[97],"besides,":[98],"it":[99],"avoids":[100],"bottleneck":[101],"network,":[105],"so":[106],"as":[107],"increase":[109],"rate.":[112],"We":[113],"conduct":[114],"trace-":[115],"driven":[116],"simulations,":[117],"which":[118],"show":[119,152],"our":[121,179],"system:":[123],"(i)":[124],"achieves":[125],"up":[126,146],"27%":[128],"higher":[129],"average":[130,141],"rate":[132,168],"than":[133],"state-of-the-art":[135,185],"systems,":[136],"(ii)":[138],"reduces":[139],"maximal":[142,176],"by":[145,154],"60%.":[148],"Moreover,":[149],"results":[151],"that,":[153],"varying":[155],"number":[157,161],"answerers,":[159],"keywords":[163],"per":[164],"question,":[165],"arrival":[167],"questions,":[170],"predictability":[173],"against":[174],"time,":[178],"consistently":[182],"outperforms":[183]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}