{"id":"https://openalex.org/W2902679889","doi":"https://doi.org/10.1109/snams.2018.8554730","title":"CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks","display_name":"CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2902679889","doi":"https://doi.org/10.1109/snams.2018.8554730","mag":"2902679889"},"language":"en","primary_location":{"id":"doi:10.1109/snams.2018.8554730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2018.8554730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)","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/A5036955634","display_name":"Zekarias T. Kefato","orcid":"https://orcid.org/0000-0001-7898-0879"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Zekarias T. Kefato","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081488132","display_name":"Nasrullah Sheikh","orcid":"https://orcid.org/0000-0001-7194-9385"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nasrullah Sheikh","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013731775","display_name":"Leila Bahri","orcid":"https://orcid.org/0000-0002-7520-9664"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Leila Bahri","raw_affiliation_strings":["KTH - Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH - Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047210123","display_name":"Amira Soliman","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Amira Soliman","raw_affiliation_strings":["KTH - Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH - Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045508421","display_name":"Alberto Montresor","orcid":"https://orcid.org/0000-0001-5820-8216"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Montresor","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041411651","display_name":"\u0160ar\u016bnas Girdzijauskas","orcid":"https://orcid.org/0000-0003-4516-7317"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sarunas Girdzijauskas","raw_affiliation_strings":["KTH - Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH - Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036955634"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":1.659,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84604804,"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":"72","last_page":"79"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8400480151176453},{"id":"https://openalex.org/keywords/information-cascade","display_name":"Information cascade","score":0.7904835939407349},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7446142435073853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975856184959412},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5119713544845581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5076867341995239},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4996962547302246},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4881184995174408},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4611753225326538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.426314115524292},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4241830110549927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400480151176453},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.7904835939407349},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7446142435073853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975856184959412},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5119713544845581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5076867341995239},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4996962547302246},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4881184995174408},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4611753225326538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.426314115524292},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4241830110549927},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/snams.2018.8554730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams.2018.8554730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/225548","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/225548","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1497522841","https://openalex.org/W1742402942","https://openalex.org/W1780764807","https://openalex.org/W1832693441","https://openalex.org/W1992537918","https://openalex.org/W1996263819","https://openalex.org/W2042034885","https://openalex.org/W2094948131","https://openalex.org/W2114544578","https://openalex.org/W2120166550","https://openalex.org/W2127434196","https://openalex.org/W2149260218","https://openalex.org/W2156716308","https://openalex.org/W2161621125","https://openalex.org/W2168722292","https://openalex.org/W2184179640","https://openalex.org/W2406281999","https://openalex.org/W2551393996","https://openalex.org/W2551441958","https://openalex.org/W2598525681","https://openalex.org/W2605163477","https://openalex.org/W2784974433","https://openalex.org/W2949377321","https://openalex.org/W2962756421","https://openalex.org/W2964320510","https://openalex.org/W3098684887","https://openalex.org/W3104987177","https://openalex.org/W3122471732","https://openalex.org/W3125952634","https://openalex.org/W6629807537","https://openalex.org/W6678720353","https://openalex.org/W6686231057","https://openalex.org/W6714003741","https://openalex.org/W6729306796"],"related_works":["https://openalex.org/W2038891404","https://openalex.org/W3104987177","https://openalex.org/W2810784123","https://openalex.org/W3041929574","https://openalex.org/W2990751567","https://openalex.org/W4200012112","https://openalex.org/W2219275368","https://openalex.org/W4385988053","https://openalex.org/W4292369391","https://openalex.org/W2067425759"],"abstract_inverted_index":{"Effectively":[0],"predicting":[1],"whether":[2,172],"a":[3,88,115,160,173],"given":[4],"post":[5],"or":[6,75,180],"tweet":[7],"is":[8,17,129,175],"going":[9,176],"to":[10,158,177],"become":[11,178],"viral":[12,179],"in":[13,147,152],"online":[14],"social":[15],"networks":[16],"of":[18,38,126,143,200],"paramount":[19],"importance":[20],"for":[21,162,193],"several":[22,31],"applications,":[23],"such":[24,159],"as":[25,98],"trend":[26],"and":[27,101,149],"break-out":[28],"forecasting.":[29],"While":[30],"attempts":[32],"towards":[33],"this":[34,84],"end":[35],"exist,":[36],"most":[37],"the":[39,47,53,73,108,118,127,137,141,198],"current":[40],"approaches":[41],"rely":[42],"on":[43,136,187],"features":[44],"extracted":[45],"from":[46,117],"underlying":[48],"network":[49],"structure":[50],"over":[51],"which":[52],"content":[54],"spreads.":[55],"Recent":[56],"studies":[57],"have":[58,113,183],"shown,":[59],"however,":[60],"that":[61,94,196],"prediction":[62,110],"can":[63,170],"be":[64],"effectively":[65],"performed":[66,184],"with":[67,77],"very":[68],"little":[69],"structural":[70,79],"information":[71,80,96],"about":[72],"network,":[74],"even":[76],"no":[78],"at":[81],"all.":[82],"In":[83],"study":[85],"we":[86,112],"propose":[87],"novel":[89],"network-agnostic":[90],"approach":[91],"called":[92],"cAs2vEC,":[93],"models":[95],"cascades":[97,148],"time":[99,105],"series":[100],"discretizes":[102],"them":[103],"using":[104,165],"slices.":[106],"For":[107],"actual":[109],"task":[111],"adopted":[114],"technique":[116,128,161],"natural":[119,153],"language":[120,154],"processing":[121],"community.":[122],"The":[123],"particular":[124],"choice":[125],"mainly":[130],"inspired":[131],"by":[132],"an":[133],"empirical":[134],"observation":[135],"strong":[138,204],"similarity":[139],"between":[140],"distribution":[142],"discretized":[144],"values":[145],"occurrence":[146,151],"words":[150],"documents.":[155],"Thus,":[156],"thanks":[157],"sentence":[163],"classification":[164],"convolutional":[166],"neural":[167],"networks,":[168],"CAS2VEC":[169],"predict":[171],"cascade":[174,194],"not.":[181],"We":[182],"extensive":[185],"experiments":[186],"two":[188],"widely":[189],"used":[190],"real-world":[191],"datasets":[192],"prediction,":[195],"demonstrate":[197],"effectiveness":[199],"our":[201],"algorithm":[202],"against":[203],"baselines.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
