{"id":"https://openalex.org/W1052148005","doi":"https://doi.org/10.1145/2740908.2743037","title":"Supervised Prediction of Social Network Links Using Implicit Sources of Information","display_name":"Supervised Prediction of Social Network Links Using Implicit Sources of Information","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W1052148005","doi":"https://doi.org/10.1145/2740908.2743037","mag":"1052148005"},"language":"en","primary_location":{"id":"doi:10.1145/2740908.2743037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2743037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087738988","display_name":"Ervin Tasn\u00e1di","orcid":"https://orcid.org/0000-0002-4713-5397"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Ervin Tasn\u00e1di","raw_affiliation_strings":["University of Szeged, Department of Informatics, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Szeged, Department of Informatics, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020987552","display_name":"G\u00e1bor Berend","orcid":"https://orcid.org/0000-0002-3845-4978"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"G\u00e1bor Berend","raw_affiliation_strings":["University of Szeged, Department of Informatics, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Szeged, Department of Informatics, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087738988"],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":null,"apc_paid":null,"fwci":0.7158,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69264111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1117","last_page":"1122"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996399998664856,"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":0.9947999715805054,"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":0.8149615526199341},{"id":"https://openalex.org/keywords/social-connectedness","display_name":"Social connectedness","score":0.8148354291915894},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5856760740280151},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5560328364372253},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5265222787857056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4636337459087372},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37489598989486694},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.21023079752922058},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15727585554122925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09109330177307129}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149615526199341},{"id":"https://openalex.org/C201943243","wikidata":"https://www.wikidata.org/wiki/Q7551008","display_name":"Social connectedness","level":2,"score":0.8148354291915894},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5856760740280151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5560328364372253},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5265222787857056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636337459087372},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37489598989486694},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.21023079752922058},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15727585554122925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09109330177307129},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2740908.2743037","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2743037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:publicatio.bibl.u-szeged.hu:7727","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400675","display_name":"SZTE Publicatio Repozit\u00f3rium (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"K\u00f6nyv r\u00e9sze"}],"best_oa_location":{"id":"pmh:oai:publicatio.bibl.u-szeged.hu:7727","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400675","display_name":"SZTE Publicatio Repozit\u00f3rium (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"K\u00f6nyv r\u00e9sze"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W188608978","https://openalex.org/W1854214752","https://openalex.org/W1903894141","https://openalex.org/W1973938657","https://openalex.org/W2054141820","https://openalex.org/W2102720960","https://openalex.org/W2109480754","https://openalex.org/W2110096996","https://openalex.org/W2123442489","https://openalex.org/W2133299088","https://openalex.org/W2137245235","https://openalex.org/W2165949563","https://openalex.org/W2420733993","https://openalex.org/W2768375068","https://openalex.org/W2990138404","https://openalex.org/W3099786402","https://openalex.org/W6639897565"],"related_works":["https://openalex.org/W3125761283","https://openalex.org/W2164081328","https://openalex.org/W1976722080","https://openalex.org/W3092556108","https://openalex.org/W2117372696","https://openalex.org/W3152831473","https://openalex.org/W3044931971","https://openalex.org/W3124153858","https://openalex.org/W2070230112","https://openalex.org/W1480884466"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,18,70,94],"introduce":[4],"a":[5,156],"supervised":[6,101],"machine":[7],"learning":[8,102],"framework":[9,33,158],"for":[10],"the":[11,26,37,40,65,74,78,81,89,97,114,117,135,160,167,180],"link":[12],"prediction":[13],"problem.":[14],"The":[15,31,67],"social":[16,41,82,106,118],"network":[17,42,83,119],"conducted":[19],"our":[20],"empirical":[21,129],"evaluation":[22],"on":[23,60,72,110,123,147],"originates":[24],"from":[25,113,138],"restaurant":[27],"review":[28],"portal,":[29],"yelp.com.":[30],"proposed":[32],"not":[34,131],"only":[35,132],"uses":[36],"structure":[38,115],"of":[39,53,77,80,99,116,141,170,182],"to":[43,104,162],"predict":[44,105],"non-existing":[45],"edges":[46],"in":[47,64,155],"it,":[48],"but":[49,121,150],"also":[50,95,151],"makes":[51],"use":[52,76],"further":[54],"graphs":[55],"that":[56,134,152],"were":[57],"constructed":[58],"based":[59,122],"implicit":[61,68,125,142,171],"information":[62,69,126,143,172],"provided":[63],"dataset.":[66],"relied":[71],"includes":[73],"language":[75],"members":[79],"and":[84,176],"their":[85,148],"ratings":[86],"with":[87],"respect":[88],"businesses":[90],"they":[91],"reviewed.":[92],"Here,":[93],"investigate":[96],"possibility":[98],"building":[100],"models":[103],"links":[107],"without":[108],"relying":[109],"features":[111,136],"derived":[112,137],"itself,":[120],"such":[124],"alone.":[127],"Our":[128],"results":[130],"revealed":[133],"different":[139,168],"sources":[140,169],"can":[144,173],"be":[145],"useful":[146,177],"own,":[149],"incorporating":[153],"them":[154],"unified":[157],"has":[159],"potential":[161],"improve":[163],"classification":[164],"results,":[165],"as":[166],"provide":[174],"independent":[175],"views":[178],"about":[179],"connectedness":[181],"users.":[183]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}