{"id":"https://openalex.org/W4391877087","doi":"https://doi.org/10.1109/comsnets59351.2024.10427533","title":"A Comparative Study of Temporal and Static Networks in Modeling Pathogen Transmission within School Environments","display_name":"A Comparative Study of Temporal and Static Networks in Modeling Pathogen Transmission within School Environments","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4391877087","doi":"https://doi.org/10.1109/comsnets59351.2024.10427533"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets59351.2024.10427533","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets59351.2024.10427533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","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/A5069803104","display_name":"Ramya D Shetty","orcid":"https://orcid.org/0000-0003-3530-0102"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramya D Shetty","raw_affiliation_strings":["National Institute of Technology Karnataka,Department of Information Technology,Mangaluru,India","Department of Information Technology, National Institute of Technology Karnataka, Mangaluru, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Karnataka,Department of Information Technology,Mangaluru,India","institution_ids":["https://openalex.org/I11880225"]},{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Mangaluru, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019016567","display_name":"Shrutilipi Bhattacharjee","orcid":"https://orcid.org/0000-0002-6288-0942"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shrutilipi Bhattacharjee","raw_affiliation_strings":["National Institute of Technology Karnataka,Department of Information Technology,Mangaluru,India","Department of Information Technology, National Institute of Technology Karnataka, Mangaluru, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Karnataka,Department of Information Technology,Mangaluru,India","institution_ids":["https://openalex.org/I11880225"]},{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Mangaluru, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069803104"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02470995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"695","last_page":"699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9638000130653381,"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"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9638000130653381,"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/transmission","display_name":"Transmission (telecommunications)","score":0.5922684669494629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667626261711121},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2598641514778137}],"concepts":[{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5922684669494629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667626261711121},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2598641514778137}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets59351.2024.10427533","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets59351.2024.10427533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W204109380","https://openalex.org/W1904537313","https://openalex.org/W2008167229","https://openalex.org/W2149349114","https://openalex.org/W2327974553","https://openalex.org/W2763434918","https://openalex.org/W2790762298","https://openalex.org/W2883211277","https://openalex.org/W2899909899","https://openalex.org/W3046823700","https://openalex.org/W4285243795","https://openalex.org/W4293690628","https://openalex.org/W4304142055","https://openalex.org/W4321606771"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,78],"the":[1,10,20,49,61,106,125,128,133,139,150],"domain":[2],"of":[3,12,22,51,64,74,88,108,127,143,152],"epidemiology":[4],"and":[5,36,104,141,145],"infectious":[6],"disease":[7],"control,":[8],"understanding":[9],"dynamics":[11,21],"pathogen":[13,23,153],"transmission":[14,50,154],"is":[15,41],"crucial.":[16],"This":[17,91],"study":[18],"shows":[19],"spread":[24,107],"in":[25,47,113,148],"school":[26,54,114,156],"environments":[27],"by":[28],"comparing":[29],"two":[30,96],"distinct":[31],"network":[32],"models:":[33],"temporal":[34,129,144],"networks":[35,57,81,147],"static":[37,80,146],"networks.":[38],"The":[39],"objective":[40],"to":[42,102,123],"assess":[43],"their":[44],"respective":[45],"effectiveness":[46],"modeling":[48,97],"pathogens":[52],"within":[53,155],"settings.":[55],"Temporal":[56],"take":[58],"into":[59],"account":[60],"evolving":[62],"nature":[63],"social":[65,89],"interactions":[66],"over":[67],"time,":[68],"offering":[69],"a":[70,83],"more":[71],"realistic":[72],"representation":[73],"human":[75],"contact":[76],"patterns.":[77],"contrast,":[79],"provide":[82],"simplified":[84],"but":[85],"stable":[86],"view":[87],"connections.":[90],"research":[92],"investigates":[93],"how":[94],"these":[95],"approaches":[98],"impact":[99],"our":[100],"ability":[101],"analyze,":[103],"control":[105],"pathogens,":[109],"such":[110],"as":[111],"viruses,":[112],"environments.":[115],"We":[116],"Propose":[117],"T-GSI":[118],"(Temporal":[119],"Global":[120],"Structure":[121],"Influence)":[122],"measure":[124],"influence":[126,151],"networks,":[130],"which":[131],"outperformed":[132],"state-of-the-art":[134],"methods.":[135],"Our":[136],"findings":[137],"reveal":[138],"strengths":[140],"weaknesses":[142],"capturing":[149],"communities.":[157]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
