{"id":"https://openalex.org/W4319934119","doi":"https://doi.org/10.1109/tnet.2023.3237978","title":"Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach","display_name":"Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4319934119","doi":"https://doi.org/10.1109/tnet.2023.3237978"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2023.3237978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2023.3237978","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-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/A5084897218","display_name":"Rajeev Sahay","orcid":"https://orcid.org/0000-0001-6823-1364"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rajeev Sahay","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Autonomy and Underwater Systems Division, Saab Inc., West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-6823-1364","affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Autonomy and Underwater Systems Division, Saab Inc., West Lafayette, IN, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113984986","display_name":"Serena Nicoll","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I4210157070","display_name":"Systems and Technology Research (United States)","ror":"https://ror.org/055he9s77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157070"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Serena Nicoll","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","STR, Woburn, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"STR, Woburn, MA, USA","institution_ids":["https://openalex.org/I4210157070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044519984","display_name":"Minjun Zhang","orcid":"https://orcid.org/0000-0001-8869-8308"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minjun Zhang","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","GoForward, Inc., San Fransisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"GoForward, Inc., San Fransisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012278585","display_name":"Tsung-Yen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsung-Yen Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085243096","display_name":"Carlee Joe\u2010Wong","orcid":"https://orcid.org/0000-0003-0785-9291"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlee Joe-Wong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0785-9291","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049462632","display_name":"Kerrie Douglas","orcid":"https://orcid.org/0000-0002-2693-5272"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kerrie A. Douglas","raw_affiliation_strings":["School of Engineering Education, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-2693-5272","affiliations":[{"raw_affiliation_string":"School of Engineering Education, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020399355","display_name":"Christopher G. Brinton","orcid":"https://orcid.org/0000-0003-2771-3521"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher G. Brinton","raw_affiliation_strings":["Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0003-2771-3521","affiliations":[{"raw_affiliation_string":"Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084897218"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":1.0195,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80090482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":"5","first_page":"2086","last_page":"2100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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":0.9980000257492065,"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/T11122","display_name":"Online Learning and Analytics","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8495162725448608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6586422324180603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.63711017370224},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.49410656094551086},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4576413333415985},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44465237855911255},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.43486201763153076},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4288502037525177},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.412421315908432},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3892567455768585},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23922905325889587},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.20695683360099792},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17773517966270447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8495162725448608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6586422324180603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63711017370224},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.49410656094551086},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4576413333415985},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44465237855911255},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.43486201763153076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4288502037525177},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.412421315908432},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3892567455768585},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23922905325889587},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.20695683360099792},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17773517966270447},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2023.3237978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2023.3237978","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"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/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314598","display_name":"Charles Koch Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W576428146","https://openalex.org/W1492355514","https://openalex.org/W1880262756","https://openalex.org/W2107569009","https://openalex.org/W2125916728","https://openalex.org/W2133736058","https://openalex.org/W2166293769","https://openalex.org/W2173355892","https://openalex.org/W2270609415","https://openalex.org/W2325213220","https://openalex.org/W2337797223","https://openalex.org/W2342084918","https://openalex.org/W2483136509","https://openalex.org/W2521226928","https://openalex.org/W2542727820","https://openalex.org/W2564474075","https://openalex.org/W2598673023","https://openalex.org/W2606894124","https://openalex.org/W2725810391","https://openalex.org/W2739994438","https://openalex.org/W2792703143","https://openalex.org/W2798756994","https://openalex.org/W2803728581","https://openalex.org/W2804302410","https://openalex.org/W2883150817","https://openalex.org/W2884834684","https://openalex.org/W2891981719","https://openalex.org/W2893474907","https://openalex.org/W2896763200","https://openalex.org/W2903313674","https://openalex.org/W2912952889","https://openalex.org/W2946786104","https://openalex.org/W2946806982","https://openalex.org/W2952240410","https://openalex.org/W2963757395","https://openalex.org/W2969194307","https://openalex.org/W2988740262","https://openalex.org/W2999004045","https://openalex.org/W3012349226","https://openalex.org/W3033316698","https://openalex.org/W3040196345","https://openalex.org/W3152893301","https://openalex.org/W4230661619","https://openalex.org/W4232932184","https://openalex.org/W4294558607","https://openalex.org/W6639619044","https://openalex.org/W6685591637","https://openalex.org/W6704269636","https://openalex.org/W6731172734","https://openalex.org/W6738964360","https://openalex.org/W6748856961","https://openalex.org/W6755014912"],"related_works":["https://openalex.org/W2294667518","https://openalex.org/W3199964822","https://openalex.org/W3048601286","https://openalex.org/W3034267371","https://openalex.org/W2965925734","https://openalex.org/W4232132981","https://openalex.org/W4238046985","https://openalex.org/W3164948662","https://openalex.org/W3003242282","https://openalex.org/W3153597579"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,41,166,180,183,204],"problem":[3],"of":[4,15,38,43,64,74,101,203],"predicting":[5],"link":[6,30,76,197],"formation":[7],"in":[8,105,207],"Social":[9],"Learning":[10],"Networks":[11],"(SLN),":[12],"a":[13,72],"type":[14,63],"social":[16,39],"network":[17,84,88],"that":[18,79,96,141,173,190],"forms":[19],"when":[20],"people":[21],"learn":[22],"from":[23,127,136],"one":[24],"another":[25],"through":[26],"structured":[27],"interactions.":[28],"While":[29],"prediction":[31,77],"has":[32],"been":[33],"studied":[34],"for":[35,61,196],"general":[36],"types":[37,100],"networks,":[40,155],"evolution":[42],"SLNs":[44],"over":[45,98,147],"their":[46,50],"lifetimes":[47],"coupled":[48],"with":[49,156],"dependence":[51],"on":[52,123,165],"which":[53],"topics":[54],"are":[55,210],"being":[56],"discussed":[57],"presents":[58],"new":[59],"challenges":[60],"this":[62,208],"network.":[65],"To":[66],"address":[67],"these":[68],"challenges,":[69],"we":[70,139],"develop":[71],"series":[73],"autonomous":[75],"methodologies":[78],"utilize":[80],"spatial":[81],"and":[82,92,95,116,135,152,161,176,201],"time-evolving":[83],"architectures":[85],"to":[86,182],"pass":[87],"state":[89],"between":[90],"space":[91],"time":[93],"periods,":[94],"models":[97],"three":[99],"SLN":[102],"features":[103,178,186],"updated":[104],"each":[106],"period:":[107],"neighborhood-based":[108],"(e.g.,":[109,113,118],"resource":[110],"allocation),":[111],"path-based":[112,177],"shortest":[114],"path),":[115],"post-based":[117,185],"topic":[119],"similarity).":[120],"Through":[121],"evaluation":[122],"six":[124],"real-world":[125],"datasets":[126,205],"Massive":[128],"Open":[129],"Online":[130],"Course":[131],"(MOOC)":[132],"discussion":[133],"forums":[134],"Purdue":[137],"University,":[138],"find":[140],"our":[142],"method":[143],"obtains":[144],"substantial":[145],"improvements":[146],"Bayesian":[148],"models,":[149],"linear":[150],"classifiers,":[151],"graph":[153],"neural":[154],"AUCs":[157],"typically":[158],"above":[159],"0.91":[160],"reaching":[162],"0.99":[163],"depending":[164],"dataset.":[167],"Our":[168],"feature":[169],"importance":[170],"analysis":[171],"shows":[172],"while":[174],"neighborhood":[175],"contribute":[179],"most":[181],"results,":[184],"add":[187],"additional":[188],"information":[189],"may":[191],"not":[192],"always":[193],"be":[194],"relevant":[195],"prediction.":[198],"The":[199],"code":[200],"four":[202],"used":[206],"work":[209],"available":[211],"at":[212],"<uri":[213],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[214],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Jess-jpg-txt/sln-learning</uri>":[215],".":[216]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}