{"id":"https://openalex.org/W2507412538","doi":"https://doi.org/10.1145/2939672.2939852","title":"Burstiness Scale","display_name":"Burstiness Scale","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2507412538","doi":"https://doi.org/10.1145/2939672.2939852","mag":"2507412538"},"language":"en","primary_location":{"id":"doi:10.1145/2939672.2939852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5062633566","display_name":"Rodrigo Alves","orcid":"https://orcid.org/0000-0001-7458-5281"},"institutions":[{"id":"https://openalex.org/I4210136482","display_name":"Federal Center for Technological Education of Minas Gerais","ror":"https://ror.org/04ch49185","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210136482"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Augusto da Silva Alves","raw_affiliation_strings":["CEFET-MG, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET-MG, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I4210136482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009808819","display_name":"Renato Assun\u00e7\u00e3o","orcid":"https://orcid.org/0000-0001-7442-9166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renato Martins Assuncao","raw_affiliation_strings":["UFMG, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"UFMG, Belo Horizonte, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023882015","display_name":"Pedro O. S. Vaz de Melo","orcid":"https://orcid.org/0000-0002-9749-0151"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro Olmo Stancioli Vaz de Melo","raw_affiliation_strings":["UFMG, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"UFMG, Belo Horizonte, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062633566"],"corresponding_institution_ids":["https://openalex.org/I4210136482"],"apc_list":null,"apc_paid":null,"fwci":1.7679,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85585061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1405","last_page":"1414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9990000128746033,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/burstiness","display_name":"Burstiness","score":0.992232084274292},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7663741111755371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404009699821472},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5137687921524048},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4535664916038513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35742801427841187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3243311047554016},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07381874322891235}],"concepts":[{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.992232084274292},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7663741111755371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404009699821472},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5137687921524048},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4535664916038513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35742801427841187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3243311047554016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07381874322891235},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2939672.2939852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W863049760","https://openalex.org/W1507409481","https://openalex.org/W1849253145","https://openalex.org/W1858685504","https://openalex.org/W1890734336","https://openalex.org/W1916983229","https://openalex.org/W1972309850","https://openalex.org/W2001037010","https://openalex.org/W2020221730","https://openalex.org/W2026302857","https://openalex.org/W2042034885","https://openalex.org/W2073689275","https://openalex.org/W2073983998","https://openalex.org/W2078701302","https://openalex.org/W2112056172","https://openalex.org/W2119208771","https://openalex.org/W2127434196","https://openalex.org/W2141250202","https://openalex.org/W2156896296","https://openalex.org/W2168981274","https://openalex.org/W2276587416","https://openalex.org/W2340006107","https://openalex.org/W2397184385","https://openalex.org/W2770527101","https://openalex.org/W2949377321","https://openalex.org/W3122211503","https://openalex.org/W3122471732","https://openalex.org/W3125447264","https://openalex.org/W4231550220","https://openalex.org/W4300878592","https://openalex.org/W6638912831"],"related_works":["https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2508200300","https://openalex.org/W4297850514","https://openalex.org/W2138256111","https://openalex.org/W1574103160","https://openalex.org/W1591572210","https://openalex.org/W2108922662"],"abstract_inverted_index":{"The":[0,81],"problem":[1],"to":[2,75,89,130,163,186,228],"accurately":[3,229],"and":[4,60,85,105,119,153,188,198,214],"parsimoniously":[5],"characterize":[6,131],"random":[7,203],"series":[8,204],"of":[9,36,48,78,83,95,98,102,147,168,181,205],"events":[10,51,206],"(RSEs)":[11],"seen":[12,207,232],"in":[13,28,116,195,208,233],"the":[14,29,45,66,69,96,99,135,165,173,182],"Web,":[15],"such":[16],"as":[17,144],"Yelp":[18],"reviews":[19],"or":[20],"Twitter":[21],"hashtags,":[22],"is":[23,92,184,226],"not":[24,62],"trivial.":[25],"Reports":[26],"found":[27],"literature":[30],"reveal":[31],"two":[32,148,166,223],"apparent":[33],"conflicting":[34,87],"visions":[35],"how":[37,179],"RSEs":[38,91,231],"should":[39,61],"be":[40,63],"modeled.":[41],"From":[42],"one":[43],"side,":[44,68],"Poissonian":[46,152],"processes,":[47,71],"which":[49,72,108,177],"consecutive":[50],"follow":[52],"each":[53,142],"other":[54,67],"at":[55],"a":[56,93,127,145,151,154,160],"relatively":[57],"regular":[58],"time":[59],"correlated.":[64],"On":[65],"self-exciting":[70,155],"are":[73],"able":[74,227],"generate":[76],"bursts":[77],"correlated":[79],"events.":[80],"existence":[82],"many":[84,240],"sometimes":[86,109,114],"approaches":[88],"model":[90],"consequence":[94],"unpredictability":[97],"aggregated":[100],"dynamics":[101],"our":[103,193],"individual":[104],"routine":[106],"activities,":[107],"show":[110],"simple":[111],"patterns,":[112],"but":[113],"results":[115],"irregular":[117],"rising":[118],"falling":[120],"trends.":[121],"In":[122],"this":[123],"paper":[124],"we":[125,158],"propose":[126],"parsimonious":[128],"way":[129],"general":[132],"RSEs,":[133],"namely":[134],"Burstiness":[136],"Scale":[137],"(BuSca)":[138],"model.":[139],"BuSca":[140,169,225],"views":[141],"RSE":[143,183],"mix":[146],"independent":[149],"process:":[150],"one.":[156],"Here":[157],"describe":[159,230],"fast":[161],"method":[162,194],"extract":[164],"parameters":[167],"that,":[170,219],"together,":[171],"gives":[172],"burstiness":[174],"scale":[175],"\u03c8,":[176],"represents":[178],"much":[180],"due":[185],"bursty":[187],"viral":[189],"effects.":[190],"We":[191],"validated":[192],"eight":[196],"diverse":[197,235],"large":[199],"datasets":[200],"containing":[201],"real":[202],"Twitter,":[209],"Yelp,":[210],"e-mail":[211],"conversations,":[212],"Digg,":[213],"online":[215],"forums.":[216],"Results":[217],"showed":[218],"even":[220],"using":[221],"only":[222],"parameters,":[224],"these":[234],"systems,":[236],"what":[237],"can":[238],"leverage":[239],"applications.":[241]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-09-16T00:00:00"}
