{"id":"https://openalex.org/W2901774156","doi":"https://doi.org/10.1109/icdse.2018.8527807","title":"A Micromodel to Predict Message Propagation for Twitter Users","display_name":"A Micromodel to Predict Message Propagation for Twitter Users","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2901774156","doi":"https://doi.org/10.1109/icdse.2018.8527807","mag":"2901774156"},"language":"en","primary_location":{"id":"doi:10.1109/icdse.2018.8527807","doi":"https://doi.org/10.1109/icdse.2018.8527807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdse.2018.8527807","pdf_url":null,"source":{"id":"https://openalex.org/S4306419326","display_name":"International Conference on Data Science and Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Data Science and Engineering (ICDSE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5011530498","display_name":"Prasanth G. Rao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasanth G Rao","raw_affiliation_strings":["VTU, Belagavi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VTU, Belagavi, India","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110779758","display_name":"M.K. Venkatesha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M Venkatesha","raw_affiliation_strings":["VTU, Belagavi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VTU, Belagavi, India","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054180965","display_name":"Anita Kanavalli","orcid":"https://orcid.org/0000-0001-9776-7678","observed_orcids":["https://orcid.org/0000-0001-9776-7678"]},"institutions":[{"id":"https://openalex.org/I4405255153","display_name":"Ramaiah Institute of Technology","ror":"https://ror.org/02nyr4y94","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405255153"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anita Kanavalli","raw_affiliation_strings":["RIT, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIT, Bangalore, India","institution_ids":["https://openalex.org/I4405255153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102811419","display_name":"P. Deepa Shenoy","orcid":"https://orcid.org/0000-0003-0113-1419","observed_orcids":["https://orcid.org/0000-0003-0113-1419"]},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Deepa Shenoy","raw_affiliation_strings":["UVCE, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UVCE, Bangalore, India","institution_ids":["https://openalex.org/I53465836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112241739","display_name":"K R Venugopal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K R Venugopal","raw_affiliation_strings":["UVCE, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UVCE, Bangalore, India","institution_ids":["https://openalex.org/I53465836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4526,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82453735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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/T10557","display_name":"Social Media and Politics","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.9670000076293945},{"id":"https://openalex.org/keywords/personal-networks","display_name":"personal networks","score":0.5220000147819519},{"id":"https://openalex.org/keywords/social-media-influence","display_name":"social media influence","score":0.5730000138282776},{"id":"https://openalex.org/keywords/user-interaction-prediction","display_name":"user interaction prediction","score":0.6380000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171314001083374},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.650468111038208},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6436631679534912},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.5896321535110474},{"id":"https://openalex.org/C103613024","wikidata":"https://www.wikidata.org/wiki/Q230924","display_name":"Stateless protocol","level":3,"score":0.5714865922927856},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46483513712882996},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28439605236053467},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.279816210269928},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1019258201122284},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdse.2018.8527807","doi":"https://doi.org/10.1109/icdse.2018.8527807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdse.2018.8527807","pdf_url":null,"source":{"id":"https://openalex.org/S4306419326","display_name":"International Conference on Data Science and Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Data Science and Engineering (ICDSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W27793324","https://openalex.org/W1566772816","https://openalex.org/W1573579329","https://openalex.org/W2028677680","https://openalex.org/W2083329513","https://openalex.org/W2105543408","https://openalex.org/W2125055259","https://openalex.org/W2125910575","https://openalex.org/W2128678576","https://openalex.org/W2133990480","https://openalex.org/W2142535891","https://openalex.org/W2144009057","https://openalex.org/W2155461593","https://openalex.org/W2168092462","https://openalex.org/W2205499876","https://openalex.org/W2265862919","https://openalex.org/W2339736358","https://openalex.org/W2566672032","https://openalex.org/W2578640324","https://openalex.org/W2911964244","https://openalex.org/W2964135759","https://openalex.org/W6693370502"],"related_works":["https://openalex.org/W2111214786","https://openalex.org/W7100440693","https://openalex.org/W2265862919","https://openalex.org/W170896097","https://openalex.org/W7099341324","https://openalex.org/W4406658013","https://openalex.org/W1499517307","https://openalex.org/W2127267264","https://openalex.org/W2000305477","https://openalex.org/W2484690260"],"abstract_inverted_index":{"Twitter":[0,81],"is":[1,15,23,31,77],"the":[2,11,21,32,49,66],"most":[3],"popular":[4],"social":[5],"platform":[6],"for":[7,40,44,48,113],"broadcasting":[8],"opinions":[9],"but":[10],"reach":[12],"of":[13,26,100,116],"tweets":[14],"often":[16],"non-deterministic.":[17],"While":[18],"people":[19],"believe":[20],"world":[22],"taking":[24],"cognizance":[25],"their":[27,73],"tweets,":[28],"this":[29],"seldom":[30],"truth.":[33],"This":[34,76],"paper":[35],"presents":[36],"a":[37,45,84,91,109],"micro-prediction":[38],"model":[39],"determining":[41,65],"message":[42,59],"propagation":[43],"user,":[46],"especially":[47],"non-influential":[50],"majority.":[51],"Our":[52],"framework":[53],"uses":[54],"Ego":[55],"network":[56],"in":[57,83],"predicting":[58],"propagation.":[60],"The":[61,105],"work":[62],"focuses":[63],"on":[64],"possible":[67],"users":[68],"who":[69],"would":[70],"interact":[71],"and":[72,97],"immediate":[74],"reach.":[75],"achieved":[78],"by":[79],"using":[80],"API":[82],"limited":[85],"manner.":[86],"We":[87],"attempt":[88],"to":[89,102],"make":[90],"responsive":[92],"prediction":[93],"model;":[94],"simple,":[95],"stateless":[96],"scalable,":[98],"capable":[99],"catering":[101],"parallel":[103],"requests.":[104],"simulation":[106],"results":[107],"shows":[108],"promising":[110],"86.4%":[111],"accuracy":[112],"data":[114],"constituting":[115],"336768":[117],"connected":[118],"users.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2018-11-29T00:00:00"}
