{"id":"https://openalex.org/W4312309910","doi":"https://doi.org/10.1109/tkde.2022.3219399","title":"A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks","display_name":"A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312309910","doi":"https://doi.org/10.1109/tkde.2022.3219399"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3219399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3219399","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_Measurement-Driven_Analysis_and_Prediction_of_Content_Propagation_in_the_Device-to-Device_Social_Networks/22091597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038451725","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0003-4874-6162"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000210993","display_name":"Shaoyuan Huang","orcid":"https://orcid.org/0000-0002-4091-6457"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyuan Huang","raw_affiliation_strings":["Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327868","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-9651-0651"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380474","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0002-9059-330X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["School of Information Technology, Deakin University, Burwood, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Burwood, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363470","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0002-7223-1030"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Advanced Networking, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035919267","display_name":"Victor C. M. Leung","orcid":"https://orcid.org/0000-0003-3529-2640"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Victor C. M. Leung","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038451725"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.2846,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81450617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.983299970626831,"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":0.8669962882995605},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5564737319946289},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4704781174659729},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4550330638885498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37918487191200256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35063156485557556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33873987197875977},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33493369817733765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8669962882995605},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5564737319946289},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4704781174659729},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4550330638885498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37918487191200256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35063156485557556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33873987197875977},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33493369817733765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2022.3219399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3219399","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/22091597","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Measurement-Driven_Analysis_and_Prediction_of_Content_Propagation_in_the_Device-to-Device_Social_Networks/22091597","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/22091597","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Measurement-Driven_Analysis_and_Prediction_of_Content_Propagation_in_the_Device-to-Device_Social_Networks/22091597","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W22814213","https://openalex.org/W1967585221","https://openalex.org/W1992577911","https://openalex.org/W1999118623","https://openalex.org/W2029535444","https://openalex.org/W2055430614","https://openalex.org/W2061493173","https://openalex.org/W2067751194","https://openalex.org/W2077099791","https://openalex.org/W2077933964","https://openalex.org/W2112090702","https://openalex.org/W2117744325","https://openalex.org/W2143612262","https://openalex.org/W2177430113","https://openalex.org/W2249925396","https://openalex.org/W2432356473","https://openalex.org/W2483498405","https://openalex.org/W2599382433","https://openalex.org/W2608787653","https://openalex.org/W2725363551","https://openalex.org/W2768220671","https://openalex.org/W2769999272","https://openalex.org/W2788789723","https://openalex.org/W2804332229","https://openalex.org/W2887343948","https://openalex.org/W2902756944","https://openalex.org/W2905580465","https://openalex.org/W2920128533","https://openalex.org/W2921236080","https://openalex.org/W2944935235","https://openalex.org/W2955597675","https://openalex.org/W2963355447","https://openalex.org/W2964126306","https://openalex.org/W2964289395","https://openalex.org/W2964842447","https://openalex.org/W2965683718","https://openalex.org/W2996259521","https://openalex.org/W3007534210","https://openalex.org/W3024007524","https://openalex.org/W3040157551","https://openalex.org/W3094705861","https://openalex.org/W3099023595","https://openalex.org/W3117749890","https://openalex.org/W3121087702","https://openalex.org/W3128816197","https://openalex.org/W3161597531","https://openalex.org/W3177389668","https://openalex.org/W3192270894","https://openalex.org/W3209464967","https://openalex.org/W3209695244","https://openalex.org/W4294558607","https://openalex.org/W4300615513","https://openalex.org/W6691430727","https://openalex.org/W6718112784","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2885323543","https://openalex.org/W2145649715","https://openalex.org/W4307535225","https://openalex.org/W2220635983","https://openalex.org/W93038178"],"abstract_inverted_index":{"In":[0],"the":[1,20,54,109,138,164],"5":[2],"G":[3],"era,":[4],"data":[5,16,40],"traffic":[6,22],"has":[7],"been":[8],"growing":[9],"rapidly.":[10],"A":[11],"small":[12],"number":[13],"of":[14,48,56,81,86,92,111,141],"popular":[15],"files":[17],"may":[18],"dominate":[19],"network":[21,27],"and":[23,37,58,90,103,127,148,171],"lead":[24],"to":[25,107,120],"heavy":[26],"congestion.":[28],"Device-to-Device":[29],"(D2D)":[30],"communication":[31],"can":[32],"be":[33],"used":[34],"for":[35,132],"caching":[36,57],"offloading":[38,59],"significant":[39],"traffic.":[41],"D2D":[42,49,61,87,112],"social":[43,62,88],"networks":[44,63],"are":[45],"instantiated":[46],"paradigms":[47],"communication.":[50],"Existing":[51],"studies":[52],"maximize":[53],"performances":[55,140],"in":[60,154],"by":[64],"predicting":[65,71,155],"potential":[66],"content":[67,104,123],"propagation":[68,105,124],"paths.":[69],"However,":[70],"such":[72,78],"paths":[73,106,125],"still":[74],"faces":[75],"many":[76],"challenges,":[77],"as":[79],"limitation":[80],"user":[82],"spatial-temporal":[83],"features,":[84],"fragility":[85],"networks,":[89],"uncertainty":[91],"participants.":[93,134],"As":[94],"a":[95,117,129],"solution,":[96],"we":[97,115],"first":[98],"measure":[99],"users'":[100],"multi-dimensional":[101],"features":[102],"explore":[108],"distributions":[110],"activities.":[113],"Then":[114],"propose":[116],"D2D-LSTM":[118,143],"model":[119,131],"predict":[121],"complete":[122],"hierarchically":[126],"design":[128],"prototype-user":[130,157],"new":[133],"Experimental":[135],"results":[136],"demonstrate":[137],"state-of-the-art":[139],"D2D-LSTM.":[142],"achieves":[144],"at":[145,149,168,172],"most":[146,169],"95%":[147],"least":[150,173],"84.6%":[151],"average":[152],"precision":[153],"terminal":[156],"class.":[158],"Tree":[159],"generation":[160],"tests":[161],"show":[162],"that":[163],"generated":[165],"trees":[166],"have":[167],"64%":[170],"17%":[174],"similarity":[175],"with":[176],"ground-truth":[177],"trees.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}