{"id":"https://openalex.org/W4288083600","doi":"https://doi.org/10.1145/3364222","title":"Social Science\u2013guided Feature Engineering","display_name":"Social Science\u2013guided Feature Engineering","publication_year":2020,"publication_date":"2020-01-09","ids":{"openalex":"https://openalex.org/W4288083600","doi":"https://doi.org/10.1145/3364222"},"language":"en","primary_location":{"id":"doi:10.1145/3364222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3364222","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3364222","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3364222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006034615","display_name":"Ghazaleh Beigi","orcid":"https://orcid.org/0000-0001-5839-7408"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghazaleh Beigi","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5839-7408","affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State Universtiy, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State Universtiy, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338921","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-0253-647X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4289,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81996535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T13283","display_name":"Mental Health Research Topics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9962999820709229,"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":0.7637796401977539},{"id":"https://openalex.org/keywords/distrust","display_name":"Distrust","score":0.7413800954818726},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6726713180541992},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.6558368802070618},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5615320205688477},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.5266470909118652},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4494037330150604},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.42151182889938354},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3832760453224182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31988298892974854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2688741087913513},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2678854167461395},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1520359218120575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14567705988883972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637796401977539},{"id":"https://openalex.org/C2778321746","wikidata":"https://www.wikidata.org/wiki/Q621922","display_name":"Distrust","level":2,"score":0.7413800954818726},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6726713180541992},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.6558368802070618},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5615320205688477},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.5266470909118652},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4494037330150604},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.42151182889938354},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3832760453224182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31988298892974854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2688741087913513},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2678854167461395},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1520359218120575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14567705988883972},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3364222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3364222","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3364222","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2001.01015","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.01015","pdf_url":"https://arxiv.org/pdf/2001.01015","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3364222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3364222","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3364222","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G1961911537","display_name":null,"funder_award_id":"W911NF-15-1-0328","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5385673730","display_name":null,"funder_award_id":"W911NF-15-1-","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6358751816","display_name":null,"funder_award_id":"N00014-17-1-2605","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7087362450","display_name":null,"funder_award_id":"#1614576","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8298882864","display_name":"III: Small: Discovering and Characterizing Implicit Links in Graph Data","funder_award_id":"1614576","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288083600.pdf","grobid_xml":"https://content.openalex.org/works/W4288083600.grobid-xml"},"referenced_works_count":108,"referenced_works":["https://openalex.org/W108936587","https://openalex.org/W1964537599","https://openalex.org/W1967880951","https://openalex.org/W1967955538","https://openalex.org/W1968967016","https://openalex.org/W1976860309","https://openalex.org/W1980127182","https://openalex.org/W1984258012","https://openalex.org/W1984438875","https://openalex.org/W1988286375","https://openalex.org/W1995899747","https://openalex.org/W2002715976","https://openalex.org/W2011554523","https://openalex.org/W2019512103","https://openalex.org/W2024218614","https://openalex.org/W2028165471","https://openalex.org/W2028513945","https://openalex.org/W2030291207","https://openalex.org/W2032505462","https://openalex.org/W2039344925","https://openalex.org/W2042123098","https://openalex.org/W2044984737","https://openalex.org/W2045429116","https://openalex.org/W2053081145","https://openalex.org/W2061820396","https://openalex.org/W2064394365","https://openalex.org/W2068847085","https://openalex.org/W2071559616","https://openalex.org/W2072379725","https://openalex.org/W2072701859","https://openalex.org/W2072856658","https://openalex.org/W2073415627","https://openalex.org/W2074955170","https://openalex.org/W2079758816","https://openalex.org/W2080508012","https://openalex.org/W2081480803","https://openalex.org/W2085598592","https://openalex.org/W2088339848","https://openalex.org/W2092511216","https://openalex.org/W2095115229","https://openalex.org/W2100026763","https://openalex.org/W2101396617","https://openalex.org/W2101409529","https://openalex.org/W2104991062","https://openalex.org/W2105543408","https://openalex.org/W2114051435","https://openalex.org/W2129105917","https://openalex.org/W2130354913","https://openalex.org/W2137962371","https://openalex.org/W2144780381","https://openalex.org/W2150628111","https://openalex.org/W2151092491","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2156273451","https://openalex.org/W2156716125","https://openalex.org/W2158125918","https://openalex.org/W2158698691","https://openalex.org/W2162594884","https://openalex.org/W2276159246","https://openalex.org/W2316889839","https://openalex.org/W2340079414","https://openalex.org/W2408339918","https://openalex.org/W2476444236","https://openalex.org/W2489361591","https://openalex.org/W2507951608","https://openalex.org/W2514893530","https://openalex.org/W2522016997","https://openalex.org/W2527789153","https://openalex.org/W2586379385","https://openalex.org/W2619095830","https://openalex.org/W2622849676","https://openalex.org/W2733518279","https://openalex.org/W2751817935","https://openalex.org/W2752687826","https://openalex.org/W2787443270","https://openalex.org/W2803724604","https://openalex.org/W2885730514","https://openalex.org/W2887092413","https://openalex.org/W2892885307","https://openalex.org/W2896239789","https://openalex.org/W2897765576","https://openalex.org/W2901484431","https://openalex.org/W2916922147","https://openalex.org/W2962746987","https://openalex.org/W2963128065","https://openalex.org/W2963239711","https://openalex.org/W2963428935","https://openalex.org/W2964140784","https://openalex.org/W2964304168","https://openalex.org/W2974738913","https://openalex.org/W2979123790","https://openalex.org/W3022954696","https://openalex.org/W3104097132","https://openalex.org/W4213134349","https://openalex.org/W4229598987","https://openalex.org/W4232212779","https://openalex.org/W4232685510","https://openalex.org/W4233513203","https://openalex.org/W4238027106","https://openalex.org/W4242874655","https://openalex.org/W4243657196","https://openalex.org/W4249521496","https://openalex.org/W4250825026","https://openalex.org/W4250977787","https://openalex.org/W4252855288","https://openalex.org/W4255330697","https://openalex.org/W4289282002"],"related_works":["https://openalex.org/W2904868555","https://openalex.org/W2020198693","https://openalex.org/W2952662149","https://openalex.org/W1926303568","https://openalex.org/W3155846532","https://openalex.org/W4386880480","https://openalex.org/W2361372973","https://openalex.org/W3124740722","https://openalex.org/W4389359147","https://openalex.org/W2065835655"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"relations":[2],"can":[3,99,148,176],"be":[4,100],"represented":[5],"by":[6,193,210],"signed":[7,62,78,87,105,123,142,185,223,238],"networks":[8,63,69,88,95],"with":[9],"positive":[10,159,167],"links":[11,18,51,98,143,154],"(e.g.,":[12,19],"friendships":[13],"and":[14,16,21,59,70,96,205,219,241],"trust)":[15],"negative":[17,50,97,153],"foes":[20],"distrust).":[22],"Link":[23],"prediction":[24,240],"helps":[25],"advance":[26],"tasks":[27],"in":[28,55,104,108],"social":[29,45,79,195,235],"network":[30],"analysis":[31,41,76,107,125,129],"such":[32],"as":[33,161],"recommendation":[34],"systems.":[35],"Most":[36],"existing":[37],"work":[38],"on":[39,43,74,118],"link":[40,75,106,124,128,186,224,239],"focuses":[42],"unsigned":[44,68,94],"networks.":[46,80],"The":[47],"existence":[48],"of":[49,61,67,86,93,101,122,133,141,179,182,202,216,230],"piques":[52],"research":[53,189],"interests":[54],"investigating":[56],"whether":[57],"properties":[58,85],"principles":[60],"differ":[64,90],"from":[65,91,234],"those":[66,92],"mandates":[71],"dedicated":[72],"efforts":[73],"for":[77,184,222,237],"Recent":[81],"findings":[82],"suggest":[83],"that":[84],"substantially":[89],"significant":[102],"help":[103],"complementary":[109],"ways.":[110],"In":[111],"this":[112],"article,":[113],"we":[114,175,212],"center":[115],"our":[116],"discussion":[117],"a":[119,138],"challenging":[120],"problem":[121,132,147],".":[126,208],"Signed":[127],"faces":[130],"the":[131,228,231,243],"data":[134,244],"sparsity,":[135],"i.e.,":[136],"only":[137],"small":[139],"percentage":[140],"are":[144,155,163],"given.":[145],"This":[146,188],"even":[149],"get":[150],"worse":[151],"when":[152],"much":[156],"sparser":[157],"than":[158,170],"ones":[160],"users":[162],"inclined":[164],"more":[165],"toward":[166],"disposition":[168],"rather":[169],"negative.":[171],"We":[172],"investigate":[173],"how":[174],"take":[177],"advantage":[178],"other":[180],"sources":[181],"information":[183],"analysis.":[187,225],"is":[190],"mainly":[191],"guided":[192],"three":[194,214],"science":[196],"theories,":[197],"Emotional":[198],"Information":[199],",":[200,204],"Diffusion":[201],"Innovations":[203],"Individual":[206],"Personality":[207],"Guided":[209],"these,":[211],"extract":[213],"categories":[215],"related":[217],"features":[218,232],"leverage":[220],"them":[221],"Experiments":[226],"show":[227],"significance":[229],"gleaned":[233],"theories":[236],"addressing":[242],"sparsity":[245],"challenge.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-07-28T00:00:00"}
