{"id":"https://openalex.org/W1595702740","doi":"https://doi.org/10.1109/apsitt.2015.7217089","title":"Study on the growth and decline of SNSs by using the infectious recovery SIR model","display_name":"Study on the growth and decline of SNSs by using the infectious recovery SIR model","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1595702740","doi":"https://doi.org/10.1109/apsitt.2015.7217089","mag":"1595702740"},"language":"en","primary_location":{"id":"doi:10.1109/apsitt.2015.7217089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsitt.2015.7217089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT)","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/A5071395884","display_name":"Moena Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Moena Tanaka","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110231313","display_name":"Yusuke Sakumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Sakumoto","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023530161","display_name":"Masaki Aida","orcid":"https://orcid.org/0000-0001-5614-6269"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Aida","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069398897","display_name":"Konosuke Kawashima","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Konosuke Kawashima","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071395884"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":1.1963,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78297491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9987000226974487,"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.6567797064781189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5861446261405945},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5466362833976746},{"id":"https://openalex.org/keywords/time-sequence","display_name":"Time sequence","score":0.5345569849014282},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.5309813618659973},{"id":"https://openalex.org/keywords/service-model","display_name":"Service model","score":0.49530068039894104},{"id":"https://openalex.org/keywords/growth-model","display_name":"Growth model","score":0.4813278913497925},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4387422204017639},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43091076612472534},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.42141997814178467},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34235337376594543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2293996512889862},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15139266848564148},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.13620272278785706},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12033304572105408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10088777542114258},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08401745557785034},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08164048194885254}],"concepts":[{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.6567797064781189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861446261405945},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5466362833976746},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.5345569849014282},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5309813618659973},{"id":"https://openalex.org/C2983289691","wikidata":"https://www.wikidata.org/wiki/Q7455768","display_name":"Service model","level":3,"score":0.49530068039894104},{"id":"https://openalex.org/C2983335520","wikidata":"https://www.wikidata.org/wiki/Q47537570","display_name":"Growth model","level":2,"score":0.4813278913497925},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4387422204017639},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43091076612472534},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.42141997814178467},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34235337376594543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2293996512889862},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15139266848564148},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.13620272278785706},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12033304572105408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10088777542114258},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08401745557785034},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08164048194885254},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"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/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsitt.2015.7217089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsitt.2015.7217089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1674853078","https://openalex.org/W2148301044","https://openalex.org/W6637367817"],"related_works":["https://openalex.org/W2147581087","https://openalex.org/W2291447000","https://openalex.org/W2032624981","https://openalex.org/W4234440745","https://openalex.org/W2401511646","https://openalex.org/W3154790348","https://openalex.org/W2726574357","https://openalex.org/W4315489122","https://openalex.org/W2380624056","https://openalex.org/W2388326609"],"abstract_inverted_index":{"The":[0,33],"dynamics":[1],"of":[2,25,40,47,54,78,81,84,113,119],"network":[3,27,48],"services'":[4],"growth":[5,22],"and":[6,23,68,92],"decline":[7,24],"is":[8,15,36,115],"similar":[9],"to":[10,103],"infectious":[11],"disease.":[12],"So,":[13],"it":[14],"expected":[16],"that":[17,97,110],"we":[18,95],"can":[19],"explain":[20],"the":[21,52,56,70,76,79,88,104,111],"a":[26],"service":[28,121],"by":[29,74,117],"using":[30],"epidemiological":[31,45],"models.":[32],"irSIR":[34,57,93,98],"model":[35,42,91,99],"proposed":[37],"as":[38],"one":[39],"promising":[41],"for":[43],"describing":[44],"transition":[46,64,71,112],"services.":[49],"To":[50],"study":[51],"validity":[53],"applying":[55],"model,":[58,94],"this":[59],"paper":[60],"focuses":[61],"on":[62],"SNSs":[63,73],"occurred":[65],"in":[66],"Japan,":[67],"investigates":[69],"between":[72],"analyzing":[75],"sequence":[77],"number":[80],"word":[82],"searches":[83],"SNS.":[85],"By":[86],"comparing":[87],"well-known":[89],"SIR":[90],"show":[96],"gives":[100],"better":[101],"fitting":[102],"real":[105],"data.":[106],"This":[107],"result":[108],"indicates":[109],"SNS":[114],"accelerated":[116],"invitation":[118],"new":[120],"users.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}