{"id":"https://openalex.org/W2792148000","doi":"https://doi.org/10.1109/infocom.2018.8486247","title":"Who to Connect to? Joint Recommendations in Cross-layer Social Networks","display_name":"Who to Connect to? Joint Recommendations in Cross-layer Social Networks","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2792148000","doi":"https://doi.org/10.1109/infocom.2018.8486247","mag":"2792148000"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2018.8486247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8486247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","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/A5100390362","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0002-3316-4744"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["School of Information and Software Engneering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engneering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102843356","display_name":"Lian Qi","orcid":"https://orcid.org/0000-0002-8456-1168"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Lian","raw_affiliation_strings":["School of Information and Software Engneering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engneering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048486573","display_name":"Luoyi Fu","orcid":"https://orcid.org/0000-0001-7796-9168"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luoyi Fu","raw_affiliation_strings":["Robert H. Smith School of Business, University of Maryland"],"affiliations":[{"raw_affiliation_string":"Robert H. Smith School of Business, University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinbing Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100390362"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.5708,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87442117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"286","issue":null,"first_page":"1295","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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/T11478","display_name":"Caching and Content Delivery","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7976188659667969},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5062841176986694},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.46671172976493835},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45879361033439636},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44685038924217224},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.4233912229537964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4160997271537781},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4114041328430176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4076465666294098},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32964205741882324},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18669161200523376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976188659667969},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5062841176986694},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.46671172976493835},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45879361033439636},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44685038924217224},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4233912229537964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4160997271537781},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4114041328430176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4076465666294098},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32964205741882324},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18669161200523376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2018.8486247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8486247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","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":36,"referenced_works":["https://openalex.org/W19684845","https://openalex.org/W1556758605","https://openalex.org/W1807958600","https://openalex.org/W1994002853","https://openalex.org/W1995709626","https://openalex.org/W2008620264","https://openalex.org/W2009855072","https://openalex.org/W2036400208","https://openalex.org/W2058508801","https://openalex.org/W2073235443","https://openalex.org/W2106126633","https://openalex.org/W2135790056","https://openalex.org/W2136664839","https://openalex.org/W2145157418","https://openalex.org/W2153578526","https://openalex.org/W2169183402","https://openalex.org/W2241427997","https://openalex.org/W2294002049","https://openalex.org/W2325213220","https://openalex.org/W2336512584","https://openalex.org/W2336825705","https://openalex.org/W2339299925","https://openalex.org/W2342114889","https://openalex.org/W2494566063","https://openalex.org/W2604961496","https://openalex.org/W2762863270","https://openalex.org/W2763302263","https://openalex.org/W2912647241","https://openalex.org/W2962805116","https://openalex.org/W3098330039","https://openalex.org/W6638051726","https://openalex.org/W6690228010","https://openalex.org/W6703189031","https://openalex.org/W6703304329","https://openalex.org/W6745008225","https://openalex.org/W6745013723"],"related_works":["https://openalex.org/W1980877334","https://openalex.org/W2117210722","https://openalex.org/W2533280800","https://openalex.org/W2158388891","https://openalex.org/W1496775524","https://openalex.org/W2032082769","https://openalex.org/W2135358400","https://openalex.org/W2041569358","https://openalex.org/W4249181092","https://openalex.org/W2127583490"],"abstract_inverted_index":{"Social":[0],"recommendation":[1,79,116,176,190,203],"has":[2],"been":[3],"widely":[4],"applied":[5],"to":[6,12,86,95,106,200,256,267],"offer":[7],"users":[8],"suggestions":[9],"on":[10,144,152,244],"who":[11,93],"connect":[13],"to,":[14],"where":[15,185,248],"most":[16],"existing":[17],"strategies":[18],"overlook":[19],"the":[20,63,77,96,102,149,160,186,193,224,228,233,236,268],"existence":[21],"of":[22,35,58,121,215,227,235],"multi-type":[23],"connections":[24,36,85],"among":[25],"users.":[26],"To":[27],"overcome":[28],"such":[29],"limitation,":[30],"we":[31,147,157,173],"characterize":[32],"each":[33,114,170],"type":[34],"by":[37,80,98,178,241],"a":[38,45,82,119,166],"corresponding":[39],"network":[40],"layer":[41],"and":[42,128,183,192,217,260],"then":[43],"propose":[44],"novel":[46],"algorithm":[47,161,210,238],"for":[48,218],"joint":[49,78],"recommendations":[50],"in":[51,62,124,169,213,223],"cross-layer":[52,88],"social":[53],"networks.":[54],"Particularly,":[55],"two":[56,103,107,126,179],"types":[57],"results":[59,206],"are":[60],"presented":[61],"paper.":[64],"(i)":[65],"Our":[66,205],"proposed":[67,154,237],"algorithm,":[68,75],"named":[69],"as":[70],"Cross-layer":[71],"2-hop":[72],"Path":[73],"(C2P)":[74],"implements":[76],"suggesting":[81],"user":[83,97,122,133],"establish":[84],"his":[87],"two-hop":[89,99],"neighbors,":[90],"i.e.,":[91,181],"those":[92],"link":[94],"paths":[100],"with":[101,140,165,253],"hops":[104],"belonging":[105],"different":[108],"layers,":[109],"respectively.":[110],"In":[111],"doing":[112],"so,":[113],"produced":[115],"item":[117],"is":[118,162,211,222,239],"combination":[120],"relationships":[123],"both":[125],"layers":[127],"thus":[129],"can":[130],"better":[131],"meet":[132],"demands.":[134],"(ii)":[135],"By":[136],"analytical":[137],"derivations,":[138],"along":[139],"further":[141],"empirical":[142],"validation":[143],"real":[145,246],"datasets,":[146,247],"give":[148],"performance":[150,177,221],"evaluation":[151],"our":[153,242],"algorithm.":[155],"Firstly,":[156],"prove":[158],"that":[159,208],"efficiently":[163],"implementable":[164],"constant":[167],"complexity":[168],"recommendation.":[171],"Then,":[172],"evaluate":[174],"its":[175,220],"metrics,":[180],"acceptance":[182,216,258],"diversity,":[184,219],"former":[187],"metric":[188],"measures":[189,196],"accuracy":[191],"latter":[194],"one":[195],"an":[197,254,262],"algorithm's":[198],"capability":[199],"provide":[201],"diverse":[202],"items.":[204],"show":[207],"C2P":[209],"optimal":[212],"terms":[214],"same":[225],"order":[226],"theoretical":[229,269],"upperbound.":[230,270],"And":[231],"finally,":[232],"effectiveness":[234],"validated":[240],"simulations":[243],"three":[245],"it":[249],"outperforms":[250],"baseline":[251],"algorithms":[252],"up":[255],"38%":[257],"gain":[259],"obtains":[261],"around":[263],"0.5":[264],"diversity":[265],"ratio":[266]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
