{"id":"https://openalex.org/W4392158326","doi":"https://doi.org/10.1109/globecom54140.2023.10437784","title":"Modelling and Analyzing Social Interactions in COVID-19 with Dynamic Graphs","display_name":"Modelling and Analyzing Social Interactions in COVID-19 with Dynamic Graphs","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392158326","doi":"https://doi.org/10.1109/globecom54140.2023.10437784"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437784","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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/A5101841326","display_name":"Zhenyu Wu","orcid":"https://orcid.org/0000-0002-9457-8203"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Wu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697310","display_name":"Zhang Yu","orcid":"https://orcid.org/0009-0006-7286-7625"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100978585","display_name":"Jialiang Sun","orcid":"https://orcid.org/0009-0006-2379-3631"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Sun","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076776322","display_name":"Joel J. P. C. Rodrigues","orcid":"https://orcid.org/0000-0001-8657-3800"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["CN","PT"],"is_corresponding":false,"raw_author_name":"Joel J. P. C. Rodrigues","raw_affiliation_strings":["Instituto de Telecomunica&#x00E7;&#x00F5;es,Covilh&#x00E3;,Portugal","China University of Petroleum (East China), College of Computer Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica&#x00E7;&#x00F5;es,Covilh&#x00E3;,Portugal","institution_ids":["https://openalex.org/I4210120471"]},{"raw_affiliation_string":"China University of Petroleum (East China), College of Computer Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101841326"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19068537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9933000206947327,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647893488407135},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5553645491600037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33767881989479065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647893488407135},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5553645491600037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33767881989479065},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437784","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4681685985","display_name":null,"funder_award_id":"61502246,62006023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2975802621","https://openalex.org/W3015622078","https://openalex.org/W3016373786","https://openalex.org/W3019597125","https://openalex.org/W3021446060","https://openalex.org/W3021755432","https://openalex.org/W3026175677","https://openalex.org/W3027354537","https://openalex.org/W3033201346","https://openalex.org/W3037025384","https://openalex.org/W3037942277","https://openalex.org/W3044956907","https://openalex.org/W3045909625","https://openalex.org/W3047045277","https://openalex.org/W3048238828","https://openalex.org/W3084641679","https://openalex.org/W3089950634","https://openalex.org/W3094122417","https://openalex.org/W3096393000","https://openalex.org/W3097297928","https://openalex.org/W3097775121","https://openalex.org/W3098435366","https://openalex.org/W3107381801","https://openalex.org/W3115839584","https://openalex.org/W3119335205","https://openalex.org/W3128933847","https://openalex.org/W3133645752","https://openalex.org/W3135878652","https://openalex.org/W3136258650","https://openalex.org/W3145220791","https://openalex.org/W3156249605","https://openalex.org/W3174887454","https://openalex.org/W4288715199","https://openalex.org/W4290948106","https://openalex.org/W4296330065"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4294968941"],"abstract_inverted_index":{"Social":[0],"networks":[1,31],"have":[2,21,34,44],"become":[3],"significant":[4],"communication":[5],"platforms":[6],"for":[7],"tracking":[8],"user":[9],"sentiments,":[10],"interests,":[11],"and":[12,60,94,147],"activities,":[13],"particularly":[14],"during":[15,32],"the":[16,38,62,67,101,111,120,127,151,157],"COVID-19":[17,33,102],"pandemic":[18,103],"when":[19],"individuals":[20],"been":[22,35,46],"confined":[23],"to":[24,65,105,150],"their":[25],"homes.":[26],"While":[27],"static":[28],"social":[29,42,54,68,89,95,114,144],"contact":[30],"widely":[36],"studied,":[37],"dynamic":[39,57,77],"characteristics":[40,75],"of":[41,76,113,122,159],"interactions":[43,55,69],"not":[45],"thoroughly":[47],"investigated.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,108],"model":[53],"using":[56],"graph":[58],"methods":[59],"apply":[61],"proposed":[63],"approach":[64],"analyze":[66],"within":[70],"a":[71],"Weibo":[72],"dataset.":[73],"Moreover,":[74],"graphs":[78],"including":[79],"node":[80],"degree":[81],"distributions":[82],"are":[83,92,98],"studied.":[84],"Our":[85],"analysis":[86],"illustrates":[87],"that":[88,110,138],"interaction":[90,96,115,145],"frequencies":[91,116,146],"increasing":[93],"communities":[97,153],"forming":[99],"as":[100,130],"continues":[104],"evolve.":[106],"Furthermore,":[107],"show":[109],"trend":[112,121],"is":[117],"consistent":[118],"with":[119,142],"infected":[123],"person":[124],"numbers":[125],"in":[126,156],"real":[128],"world":[129],"compared":[131],"by":[132],"KL":[133],"divergence.":[134],"These":[135],"results":[136],"suggest":[137],"interventions":[139],"targeting":[140],"users":[141,148],"higher":[143],"belonging":[149],"same":[152],"might":[154],"aid":[155],"development":[158],"effective":[160],"epidemic":[161],"prevention":[162],"policies.":[163]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
