{"id":"https://openalex.org/W1853781474","doi":null,"title":"HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades","display_name":"HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades","publication_year":2015,"publication_date":"2015-07-06","ids":{"openalex":"https://openalex.org/W1853781474","mag":"1853781474"},"language":"en","primary_location":{"id":"mag:1853781474","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v37/he15.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","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":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5010444015","display_name":"Xinran He","orcid":"https://orcid.org/0000-0002-6812-518X","observed_orcids":["https://orcid.org/0000-0002-6812-518X"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinran He","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002060759","display_name":"Theodoros Rekatsinas","orcid":"https://orcid.org/0000-0001-6148-1854","observed_orcids":["https://orcid.org/0000-0001-6148-1854"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodoros Rekatsinas","raw_affiliation_strings":["University of Maryland, College Park"],"raw_orcid":"https://orcid.org/0000-0001-6148-1854","affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010326834","display_name":"James R. Foulds","orcid":"https://orcid.org/0000-0003-0935-4182","observed_orcids":["https://orcid.org/0000-0003-0935-4182"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Foulds","raw_affiliation_strings":["University of California/Santa Cruz"],"raw_orcid":"https://orcid.org/0000-0003-0935-4182","affiliations":[{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086169451","display_name":"Lise C. Getoor","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lise Getoor","raw_affiliation_strings":["University of California/Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California/Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-7055-9518","observed_orcids":["https://orcid.org/0000-0002-7055-9518","https://orcid.org/0000-0003-4242-4840"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["University of Southern California"],"raw_orcid":"https://orcid.org/0000-0003-4242-4840","affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.6572,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99363733,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.8154000043869019,"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":0.8154000043869019,"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/T10028","display_name":"Topic Modeling","score":0.09440000355243683,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.04650000110268593,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/hawkes-process","display_name":"Hawkes process","score":0.9139999747276306},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.9929999709129333},{"id":"https://openalex.org/keywords/information-dissemination","display_name":"information dissemination","score":0.968999981880188},{"id":"https://openalex.org/keywords/social-media","display_name":"social media","score":0.7120000123977661},{"id":"https://openalex.org/keywords/mean-field-variational-inference","display_name":"mean-field variational inference","score":0.765999972820282},{"id":"https://openalex.org/keywords/scientific-impact","display_name":"scientific impact","score":0.7319999933242798},{"id":"https://openalex.org/keywords/news-media","display_name":"news media","score":0.7170000076293945},{"id":"https://openalex.org/keywords/joint-inference","display_name":"joint inference","score":0.31700000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882199287414551},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7879364490509033},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5604255795478821},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5424670577049255},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5071675777435303},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4934047758579254},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48956212401390076},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48082101345062256},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.47975051403045654},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42012137174606323},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.404187947511673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3441160023212433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3140257000923157},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19433584809303284},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural 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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1853781474","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v37/he15.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","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":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W41532645","https://openalex.org/W118766000","https://openalex.org/W188609219","https://openalex.org/W1925992392","https://openalex.org/W1955368298","https://openalex.org/W1972882261","https://openalex.org/W1994473607","https://openalex.org/W2003684739","https://openalex.org/W2018984973","https://openalex.org/W2021314079","https://openalex.org/W2033389579","https://openalex.org/W2042123098","https://openalex.org/W2061820396","https://openalex.org/W2064153289","https://openalex.org/W2072644219","https://openalex.org/W2092418988","https://openalex.org/W2111708605","https://openalex.org/W2112050062","https://openalex.org/W2113889316","https://openalex.org/W2127434196","https://openalex.org/W2137242774","https://openalex.org/W2142880609","https://openalex.org/W2144100511","https://openalex.org/W2158478952","https://openalex.org/W2164900957","https://openalex.org/W2251849054","https://openalex.org/W2467174000","https://openalex.org/W2569283211"],"related_works":["https://openalex.org/W2018335545","https://openalex.org/W2339620914","https://openalex.org/W2946221187","https://openalex.org/W2604651962","https://openalex.org/W2429909924","https://openalex.org/W3160817791","https://openalex.org/W188609219","https://openalex.org/W7097074245","https://openalex.org/W2950054650","https://openalex.org/W7096881504"],"abstract_inverted_index":{"Understanding":[0],"the":[1,13,22,53,58,61],"diffusion":[2,15,55],"of":[3],"information":[4,54,96],"in":[5],"social":[6,9],"networks":[7],"and":[8,46,57,78,85,98],"media":[10,92],"requires":[11],"modeling":[12,48,95,104],"text":[14],"process.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"develop":[21],"Hawkes":[23,44],"Topic":[24],"model":[25],"(HTM)":[26],"for":[27,94,103,119],"analyzing":[28],"text-based":[29],"cascades,":[30],"such":[31],"as":[32],"retweeting":[33],"a":[34,38,73,90],"post":[35],"or":[36],"publishing":[37],"follow-up":[39],"blog":[40],"post.":[41],"HTM":[42,111],"combines":[43],"processes":[45],"topic":[47],"to":[49,68],"simultaneously":[50],"reason":[51],"about":[52],"pathways":[56],"topics":[59],"characterizing":[60],"observed":[62],"textual":[63],"information.":[64],"We":[65],"show":[66,109],"how":[67],"jointly":[69],"infer":[70],"them":[71],"with":[72],"mean-field":[74],"variational":[75],"inference":[76],"algorithm":[77],"validate":[79],"our":[80],"approach":[81],"on":[82],"both":[83,120],"synthetic":[84],"real-world":[86],"data":[87],"sets,":[88],"including":[89],"news":[91],"dataset":[93,102],"diffusion,":[97],"an":[99],"ArXiv":[100],"publication":[101],"scientific":[105],"influence.":[106],"The":[107],"results":[108],"that":[110],"is":[112],"significantly":[113],"more":[114],"accurate":[115],"than":[116],"several":[117],"baselines":[118],"tasks.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":10}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
