{"id":"https://openalex.org/W2785772354","doi":"https://doi.org/10.1109/grc.2012.6468675","title":"Inferring social relationships across social networks for viral marketing","display_name":"Inferring social relationships across social networks for viral marketing","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2785772354","doi":"https://doi.org/10.1109/grc.2012.6468675","mag":"2785772354"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2012.6468675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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/A5070582383","display_name":"Tsung-Hao Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsung-Hao Hsu","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024176415","display_name":"Meng-Fen Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Fen Chiang","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102958591","display_name":"Wen-Chih Peng","orcid":"https://orcid.org/0000-0001-8964-0933"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Chih Peng","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070582383"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2948795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1109","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851667404174805},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7400776743888855},{"id":"https://openalex.org/keywords/viral-marketing","display_name":"Viral marketing","score":0.7370312213897705},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6339585781097412},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5639057159423828},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5550923347473145},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5411540269851685},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49309298396110535},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.4930276572704315},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.43148571252822876},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4254581332206726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3747442364692688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242993652820587},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.29890212416648865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851667404174805},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7400776743888855},{"id":"https://openalex.org/C187008535","wikidata":"https://www.wikidata.org/wiki/Q204255","display_name":"Viral marketing","level":3,"score":0.7370312213897705},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6339585781097412},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5639057159423828},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5550923347473145},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5411540269851685},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49309298396110535},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.4930276572704315},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43148571252822876},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4254581332206726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3747442364692688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242993652820587},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.29890212416648865},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2012.6468675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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":9,"referenced_works":["https://openalex.org/W1539727242","https://openalex.org/W1856548066","https://openalex.org/W1981377410","https://openalex.org/W1996816151","https://openalex.org/W2010705340","https://openalex.org/W2084527756","https://openalex.org/W2158204848","https://openalex.org/W2569283211","https://openalex.org/W6632447249"],"related_works":["https://openalex.org/W561612769","https://openalex.org/W1964514847","https://openalex.org/W3045500699","https://openalex.org/W4386893809","https://openalex.org/W2806516768","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460","https://openalex.org/W2998073084","https://openalex.org/W2794938251"],"abstract_inverted_index":{"Node":[0],"classification":[1,22,110],"in":[2,16,39,94,124,162],"social":[3,50],"networks":[4],"is":[5,44,89],"a":[6,49,55,64,108,116,132,138,142,150,166],"useful":[7],"and":[8,29,63,141],"important":[9],"technique":[10],"that":[11,53,88],"has":[12],"been":[13],"widely":[14],"studied":[15],"recent":[17],"years.":[18],"Many":[19],"existing":[20],"node":[21,34],"methods":[23],"mainly":[24],"focus":[25],"on":[26],"exploiting":[27],"structural":[28],"attribute":[30],"information":[31,38,42],"to":[32,59,71,91,148,158,177],"identify":[33],"classes.":[35],"However,":[36],"the":[37,86,95,125,163,179],"an":[40,121],"emerging":[41],"network":[43,140],"usually":[45],"limited.":[46],"For":[47],"example,":[48],"networking":[51],"platform":[52],"includes":[54],"few":[56],"registered":[57,80],"users(referred":[58],"as":[60,72,186,188],"active":[61,93,122,160],"users)":[62,74],"significant":[65],"amount":[66,168],"of":[67,153,169,181],"new":[68,99],"comers":[69,100],"(referred":[70],"non-active":[73,170],"with":[75],"very":[76],"sparse":[77],"interactions":[78],"among":[79],"users.":[81,171],"Under":[82],"this":[83,104],"circumstances,":[84],"distinguishing":[85],"users":[87,161],"likely":[90,157],"be":[92],"future":[96,126],"from":[97,165,193],"large-scale":[98],"becomes":[101],"challenging.":[102],"In":[103],"paper,":[105],"we":[106,146],"propose":[107],"hybrid":[109,183],"model,":[111],"which":[112],"can":[113],"distinguish":[114],"whether":[115],"nonactive":[117],"user":[118,123],"will":[119],"become":[120,159],"by":[127],"incorporating":[128],"multiple":[129],"relations":[130],"through":[131],"unified":[133],"ranking":[134,184],"measure.":[135],"Particularly,":[136],"given":[137],"friendship":[139],"mobile":[143],"communication":[144],"network,":[145],"aim":[147],"discover":[149],"small":[151],"set":[152],"users,":[154],"who":[155],"are":[156],"future,":[164],"massive":[167],"X":[172],"We":[173],"conducted":[174],"extensive":[175],"experiments":[176],"demonstrate":[178],"effectiveness":[180],"our":[182],"model":[185],"well":[187],"report":[189],"several":[190],"empirical":[191],"observations":[192],"real":[194],"data":[195],"sets.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}