{"id":"https://openalex.org/W2949377321","doi":"https://doi.org/10.1145/2783258.2783401","title":"SEISMIC","display_name":"SEISMIC","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2949377321","doi":"https://doi.org/10.1145/2783258.2783401","mag":"2949377321"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2783401","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1506.02594","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qingyuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyuan Zhao","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Murat A. Erdogdu","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat A. Erdogdu","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hera Y. He","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hera Y. He","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anand Rajaraman","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Rajaraman","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jure Leskovec","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jure Leskovec","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":41.7307,"has_fulltext":false,"cited_by_count":478,"citation_normalized_percentile":{"value":0.99889074,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1513","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6176000237464905},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5160999894142151},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43130001425743103},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42980000376701355},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4196000099182129},{"id":"https://openalex.org/keywords/explosive-material","display_name":"Explosive material","score":0.40299999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419000029563904},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C154238967","wikidata":"https://www.wikidata.org/wiki/Q12870","display_name":"Explosive material","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C2992444157","wikidata":"https://www.wikidata.org/wiki/Q775079","display_name":"Single point","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2736999988555908},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.2669999897480011}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2783258.2783401","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1506.02594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1506.02594","pdf_url":"https://arxiv.org/pdf/1506.02594","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1506.02594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1506.02594","pdf_url":"https://arxiv.org/pdf/1506.02594","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1967579779","https://openalex.org/W1972309850","https://openalex.org/W1996263819","https://openalex.org/W2026318959","https://openalex.org/W2042034885","https://openalex.org/W2052817812","https://openalex.org/W2064758233","https://openalex.org/W2069849731","https://openalex.org/W2070645266","https://openalex.org/W2080290417","https://openalex.org/W2112056172","https://openalex.org/W2120166550","https://openalex.org/W2123906784","https://openalex.org/W2127267264","https://openalex.org/W2128893310","https://openalex.org/W2128914432","https://openalex.org/W2141250202","https://openalex.org/W2146341589","https://openalex.org/W2149260218","https://openalex.org/W3125952634","https://openalex.org/W6606940212","https://openalex.org/W6635033659","https://openalex.org/W6646664084","https://openalex.org/W6647975832"],"related_works":[],"abstract_inverted_index":{"Social":[0],"networking":[1],"websites":[2],"allow":[3],"users":[4,19],"to":[5,84,92,117],"create":[6],"and":[7,29,110],"share":[8],"content.":[9],"Big":[10],"information":[11,44],"cascades":[12],"of":[13,20,32,69,71,80,136,140,151],"post":[14,49,144],"resharing":[15,127,145],"can":[16],"form":[17],"as":[18],"these":[21],"sites":[22],"reshare":[23],"others'":[24],"posts":[25,156],"with":[26],"their":[27],"friends":[28],"followers.":[30],"One":[31],"the":[33,66,78,143,148,159,163],"central":[34],"challenges":[35],"in":[36,42,107,120,162],"understanding":[37],"such":[38,122],"cascading":[39],"behaviors":[40],"is":[41,132],"forecasting":[43],"outbreaks,":[45],"where":[46],"a":[47,72,86,108,125],"single":[48],"becomes":[50],"widely":[51],"popular":[52],"by":[53,56],"being":[54],"reshared":[55,161],"many":[57],"users.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"focus":[63],"on":[64,77],"predicting":[65],"final":[67,138],"number":[68,139],"reshares":[70],"given":[73],"post.":[74],"We":[75],"build":[76],"theory":[79],"self-exciting":[81],"point":[82],"processes":[83],"develop":[85],"statistical":[87],"model":[88,97],"that":[89,114],"allows":[90,115],"us":[91,116],"make":[93],"accurate":[94],"predictions.":[95],"Our":[96],"requires":[98],"no":[99],"training":[100],"or":[101],"expensive":[102],"feature":[103],"engineering.":[104],"It":[105],"results":[106],"simple":[109],"efficiently":[111],"computable":[112],"formula":[113],"answer":[118],"questions,":[119],"real-time,":[121],"as:":[123],"Given":[124],"post's":[126],"history":[128],"so":[129],"far,":[130],"what":[131],"our":[133],"current":[134],"estimate":[135],"its":[137],"reshares?":[141],"Is":[142],"cascade":[146],"past":[147],"initial":[149],"stage":[150],"explosive":[152],"growth?":[153],"And,":[154],"which":[155],"will":[157],"be":[158],"most":[160],"future?":[164]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":59},{"year":2021,"cited_by_count":76},{"year":2020,"cited_by_count":49},{"year":2019,"cited_by_count":52},{"year":2018,"cited_by_count":58},{"year":2017,"cited_by_count":44},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-06-27T00:00:00"}