{"id":"https://openalex.org/W2080290417","doi":"https://doi.org/10.1145/2396761.2398634","title":"Prediction of retweet cascade size over time","display_name":"Prediction of retweet cascade size over time","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2080290417","doi":"https://doi.org/10.1145/2396761.2398634","mag":"2080290417"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5048570599","display_name":"Andrey Kupavskii","orcid":"https://orcid.org/0000-0002-8313-9598"},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrey Kupavskii","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038638877","display_name":"Liudmila Prokhorenkova","orcid":"https://orcid.org/0000-0002-1520-4167"},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Liudmila Ostroumova","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110477793","display_name":"Alexey Umnov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Umnov","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050443466","display_name":"Svyatoslav Usachev","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Svyatoslav Usachev","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069551961","display_name":"Pavel Serdyukov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel Serdyukov","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052767879","display_name":"Gleb Gusev","orcid":"https://orcid.org/0009-0003-7298-1848"},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Gleb Gusev","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047624428","display_name":"Andrey Kustarev","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Kustarev","raw_affiliation_strings":["Yandex Corporate, Moscow, Russian Fed","Yandex Corporate, Moscow, Russian Fed.#TAB#"],"affiliations":[{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"Yandex Corporate, Moscow, Russian Fed.#TAB#","institution_ids":["https://openalex.org/I58957048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048570599"],"corresponding_institution_ids":["https://openalex.org/I58957048"],"apc_list":null,"apc_paid":null,"fwci":6.0318,"has_fulltext":false,"cited_by_count":173,"citation_normalized_percentile":{"value":0.96896171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2335","last_page":"2338"},"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":0.9973999857902527,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/popularity","display_name":"Popularity","score":0.8514472246170044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474085688591003},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.7432861328125},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.7188190221786499},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6122568845748901},{"id":"https://openalex.org/keywords/viral-marketing","display_name":"Viral marketing","score":0.5312825441360474},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4805731773376465},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4555680453777313},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45483654737472534},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44224315881729126},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.31612634658813477},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2604353725910187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08806559443473816}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8514472246170044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474085688591003},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.7432861328125},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.7188190221786499},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6122568845748901},{"id":"https://openalex.org/C187008535","wikidata":"https://www.wikidata.org/wiki/Q204255","display_name":"Viral marketing","level":3,"score":0.5312825441360474},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4805731773376465},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4555680453777313},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45483654737472534},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44224315881729126},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31612634658813477},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2604353725910187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08806559443473816},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1814023381","https://openalex.org/W1937101755","https://openalex.org/W1967579779","https://openalex.org/W2073926352","https://openalex.org/W2076219102","https://openalex.org/W2101196063","https://openalex.org/W2112896229","https://openalex.org/W2117192789","https://openalex.org/W2127267264","https://openalex.org/W2145446394","https://openalex.org/W2146341589","https://openalex.org/W2171577813","https://openalex.org/W2265862919"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2379813223"],"abstract_inverted_index":{"Retweet":[0],"cascades":[1],"play":[2],"an":[3,113],"essential":[4],"role":[5],"in":[6,9,17],"information":[7],"diffusion":[8],"Twitter.":[10],"Popular":[11],"tweets":[12],"reflect":[13],"the":[14,25,32,56,68,117,125,143,148,151,158,166],"current":[15],"trends":[16],"Twitter,":[18],"while":[19],"Twitter":[20],"itself":[21],"is":[22,39,51,55,147,155],"one":[23,154],"of":[24,40,62,71,76,80,119,134,142,150,168,170],"most":[26,144],"important":[27,54,145],"online":[28],"media.":[29],"Thus,":[30],"understanding":[31],"reasons":[33],"why":[34],"a":[35,60,63,101,107,131],"tweet":[36,103],"becomes":[37],"popular":[38],"great":[41],"interest":[42],"for":[43],"sociologists,":[44],"marketers":[45],"and":[46],"social":[47],"media":[48],"researches.":[49],"What":[50],"even":[52],"more":[53],"possibility":[57],"to":[58,96,130],"make":[59],"prognosis":[61],"tweet's":[64],"future":[65],"popularity.":[66],"Besides":[67],"scientific":[69],"significance":[70],"such":[72,83],"possibility,":[73],"this":[74,92],"sort":[75],"prediction":[77],"has":[78],"lots":[79],"practical":[81],"applications":[82],"as":[84,165],"breaking":[85],"news":[86],"detection,":[87],"viral":[88],"marketing":[89],"etc.":[90],"In":[91,128],"paper":[93],"we":[94,136],"try":[95],"forecast":[97],"how":[98],"many":[99],"retweets":[100,120],"given":[102],"will":[104],"gain":[105],"during":[106,121],"fixed":[108],"time":[109,122],"period.":[110],"We":[111],"train":[112],"algorithm":[114],"that":[115],"predicts":[116],"number":[118],"T":[123],"since":[124],"initial":[126],"moment.":[127],"addition":[129],"standard":[132],"set":[133],"features":[135,146],"utilize":[137],"several":[138],"new":[139],"ones.":[140],"One":[141],"flow":[149],"cascade.":[152],"Another":[153],"PageRank":[156],"on":[157],"retweet":[159],"graph,":[160],"which":[161],"can":[162],"be":[163],"considered":[164],"measure":[167],"influence":[169],"users.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}