{"id":"https://openalex.org/W4413277207","doi":"https://doi.org/10.1109/tkde.2025.3599790","title":"Efficient Algorithms for Influence Maximization in Hypergraphs by Stratified Sampling","display_name":"Efficient Algorithms for Influence Maximization in Hypergraphs by Stratified Sampling","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413277207","doi":"https://doi.org/10.1109/tkde.2025.3599790"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3599790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3599790","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5063340250","display_name":"Lingling Zhang","orcid":"https://orcid.org/0000-0001-8810-4995"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingling Zhang","raw_affiliation_strings":["Capital Normal University, Beijing, China","Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109199366","display_name":"Tiancheng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiancheng Lu","raw_affiliation_strings":["Capital Normal University, Beijing, China","Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072412248","display_name":"Zhiping Shi","orcid":"https://orcid.org/0000-0002-3562-8602"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Shi","raw_affiliation_strings":["Capital Normal University, Beijing, China","Capital Normal University, China"],"affiliations":[{"raw_affiliation_string":"Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"Capital Normal University, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061240612","display_name":"Zhiwei Zhang","orcid":"https://orcid.org/0000-0003-3482-6831"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063340250"],"corresponding_institution_ids":["https://openalex.org/I96852419"],"apc_list":null,"apc_paid":null,"fwci":1.4282,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85239866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"37","issue":"11","first_page":"6392","last_page":"6405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9419999718666077,"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":0.9419999718666077,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499887943267822},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5197162628173828},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4736569821834564},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4622504413127899},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.45512646436691284},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4415316879749298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14852428436279297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10715100169181824},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08400905132293701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499887943267822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5197162628173828},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4736569821834564},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4622504413127899},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.45512646436691284},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4415316879749298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14852428436279297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10715100169181824},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08400905132293701},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3599790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3599790","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W808055529","https://openalex.org/W1965014932","https://openalex.org/W1984069252","https://openalex.org/W1990570693","https://openalex.org/W1991635064","https://openalex.org/W2009305899","https://openalex.org/W2035165116","https://openalex.org/W2042123098","https://openalex.org/W2060571012","https://openalex.org/W2061820396","https://openalex.org/W2108858998","https://openalex.org/W2114823287","https://openalex.org/W2132801025","https://openalex.org/W2139297408","https://openalex.org/W2139430401","https://openalex.org/W2152282046","https://openalex.org/W2160411082","https://openalex.org/W2396832258","https://openalex.org/W2398784425","https://openalex.org/W2402355993","https://openalex.org/W2605594301","https://openalex.org/W2619906413","https://openalex.org/W2788460644","https://openalex.org/W2798654119","https://openalex.org/W2897194906","https://openalex.org/W2962773920","https://openalex.org/W3029231733","https://openalex.org/W3104626960","https://openalex.org/W3177320575","https://openalex.org/W3199763349","https://openalex.org/W4205352296","https://openalex.org/W4319778641","https://openalex.org/W4380324285","https://openalex.org/W4380538511","https://openalex.org/W4385286258","https://openalex.org/W4386125393","https://openalex.org/W4387490129","https://openalex.org/W4388620382","https://openalex.org/W4391888856","https://openalex.org/W4402289228","https://openalex.org/W4405528732"],"related_works":["https://openalex.org/W2387471420","https://openalex.org/W3042964584","https://openalex.org/W2356880469","https://openalex.org/W2383809451","https://openalex.org/W4206840145","https://openalex.org/W2370014976","https://openalex.org/W2350399852","https://openalex.org/W2378407977","https://openalex.org/W3047864323","https://openalex.org/W2075598034"],"abstract_inverted_index":{"Influence":[0],"maximization":[1],"(IM)":[2],"aims":[3],"to":[4,34,67],"identify":[5],"<inline-formula":[6],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[7,59,115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[8],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[9],"vertices":[10],"that":[11,139],"maximize":[12],"influence":[13,152],"spread":[14],"across":[15],"a":[16,61],"network.":[17],"While":[18],"well-studied":[19],"in":[20,24,81],"regular":[21],"graphs,":[22],"IM":[23,31,42],"hypergraphs":[25,137],"presents":[26],"unique":[27],"challenges:":[28],"conventional":[29],"graph-based":[30],"methods":[32],"fail":[33],"capture":[35],"hypergraph-specific":[36],"structural":[37,91],"properties,":[38],"and":[39,50,106,150],"existing":[40],"hypergraph":[41],"algorithms":[43,141],"lack":[44],"theoretical":[45,109],"guarantees":[46],"for":[47,73],"time":[48],"complexity":[49],"approximation":[51],"quality.":[52],"We":[53,111],"address":[54],"these":[55],"gaps":[56],"with":[57],"<italic":[58,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HyperIM</i>,":[60],"novel":[62],"algorithm":[63],"leveraging":[64],"stratified":[65,83],"sampling":[66,86,96],"generate":[68],"random":[69],"reversible":[70,123],"reachable":[71,124],"sets":[72],"efficient":[74],"seed":[75,101],"selection.":[76],"Our":[77],"key":[78],"innovation":[79],"lies":[80],"dual-perspective":[82],"sampling:":[84],"assigning":[85],"probabilities":[87],"based":[88],"on":[89,135],"vertex":[90],"properties":[92],"while":[93],"applying":[94],"size-adaptive":[95],"strategies.":[97],"This":[98],"approach":[99],"optimizes":[100,118],"selection,":[102],"reduces":[103],"computational":[104],"costs,":[105],"provides":[107],"rigorous":[108],"guarantees.":[110],"further":[112],"propose":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HyperIM_BRR</i>,":[116],"which":[117],"the":[119],"required":[120],"number":[121],"of":[122],"sets,":[125],"achieving":[126],"substantial":[127],"cost":[128],"reduction":[129],"without":[130],"sacrificing":[131],"accuracy.":[132],"Extensive":[133],"experiments":[134],"real-world":[136],"demonstrate":[138],"our":[140],"significantly":[142],"outperform":[143],"state-of-the-art":[144],"methods,":[145],"delivering":[146],"faster":[147],"execution":[148],"times":[149],"superior":[151],"spread.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-13T13:36:01.753593","created_date":"2025-10-10T00:00:00"}
