{"id":"https://openalex.org/W3178369503","doi":"https://doi.org/10.1109/tnse.2021.3073631","title":"Guest Editorial Introduction to the Special Section on Artificial Intelligence For Social Networks","display_name":"Guest Editorial Introduction to the Special Section on Artificial Intelligence For Social Networks","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3178369503","doi":"https://doi.org/10.1109/tnse.2021.3073631","mag":"3178369503"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2021.3073631","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3073631","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09475907.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09475907.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046635673","display_name":"Yingshu Li","orcid":"https://orcid.org/0000-0002-1906-7112"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingshu Li","raw_affiliation_strings":["Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088122181","display_name":"Mihaela Cardei","orcid":"https://orcid.org/0000-0003-2359-6196"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihaela Cardei","raw_affiliation_strings":["Florida Atlantic University, Boca Raton, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047153705","display_name":"Chaokun Wang","orcid":"https://orcid.org/0000-0002-2986-2574"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaokun Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anton Umek","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anton Umek","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"826","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8277999758720398,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8277999758720398,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.7835999727249146,"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/social-media","display_name":"Social media","score":0.7731834650039673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6016458868980408},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5643423199653625},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.49816465377807617},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4981553554534912},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48594892024993896},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4712268114089966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4400622248649597},{"id":"https://openalex.org/keywords/special-section","display_name":"Special section","score":0.4185439646244049},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3749094009399414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24351590871810913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16263806819915771}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7731834650039673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6016458868980408},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5643423199653625},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.49816465377807617},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4981553554534912},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48594892024993896},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4712268114089966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4400622248649597},{"id":"https://openalex.org/C2993458768","wikidata":"https://www.wikidata.org/wiki/Q3477549","display_name":"Special section","level":2,"score":0.4185439646244049},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3749094009399414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24351590871810913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16263806819915771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C61696701","wikidata":"https://www.wikidata.org/wiki/Q770766","display_name":"Engineering physics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2021.3073631","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3073631","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09475907.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tnse.2021.3073631","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3073631","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09475907.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3178369503.pdf","grobid_xml":"https://content.openalex.org/works/W3178369503.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2120116197"],"abstract_inverted_index":{"The":[0,91,155],"articles":[1],"in":[2,23,123,158,188],"this":[3],"special":[4],"section":[5],"focus":[6],"on":[7,97],"artificial":[8,153],"intelligence":[9],"for":[10,66,139,168],"social":[11,45,98,136,141,169],"networks.":[12,137,170],"Such":[13],"networks":[14],"Facebook,":[15],"Twitter,":[16],"and":[17,26,34,48,76,84,106,118,125,133,191],"Instagram":[18],"have":[19,127,181],"become":[20],"very":[21],"popular":[22],"recent":[24],"years":[25],"are":[27,56,63,173],"extensively":[28],"used":[29],"by":[30],"users":[31,47,75],"to":[32,40,148,185],"connect":[33],"communicate":[35],"with":[36],"their":[37],"friends.":[38],"Due":[39],"the":[41,49,54,130],"increasing":[42],"number":[43],"of":[44,61,94,135],"network":[46],"various":[50,108],"use":[51],"cases":[52],"that":[53],"applications":[55,134],"created":[57],"for,":[58],"huge":[59,92],"volume":[60],"data":[62,96],"being":[64],"generated,":[65],"example,":[67],"Facebook":[68],"has":[69],"over":[70],"1.23":[71],"billion":[72,87],"monthly":[73],"active":[74],"Twitter":[77],"generates":[78],"500":[79],"million":[80],"tweets":[81,88],"per":[82,89],"day":[83],"around":[85],"200":[86],"year.":[90],"amount":[93],"available":[95],"platforms":[99],"can":[100],"help":[101],"improve":[102],"people\u2019s":[103],"life":[104],"quality":[105],"benefit":[107],"interest":[109],"groups":[110],"like":[111],"public":[112],"agencies,":[113],"companies,":[114],"advertisers,":[115],"application":[116],"developers,":[117],"data-mining":[119],"researchers.":[120],"Therefore,":[121],"researchers":[122],"academia":[124],"industry":[126],"been":[128,183],"advancing":[129],"theory,":[131],"operation,":[132],"Luckily":[138],"swamped":[140],"media":[142],"researchers,":[143],"new":[144],"technology":[145,160],"enables":[146],"brands":[147],"extract":[149],"useful":[150],"knowledge":[151],"using":[152],"intelligence.":[154],"rapid":[156],"developments":[157],"AI":[159,171],"encounter":[161],"great":[162],"opportunities":[163],"as":[164,166,175,179],"well":[165],"challenges":[167],"approaches":[172],"considered":[174],"a":[176],"good":[177],"candidate,":[178],"they":[180],"already":[182],"proven":[184],"be":[186],"successful":[187],"other":[189],"information-intensive":[190],"knowledge-critical":[192],"domains.":[193]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
