{"id":"https://openalex.org/W2883918332","doi":"https://doi.org/10.1007/s00453-022-01031-w","title":"Solving Target Set Selection with Bounded Thresholds Faster than $$2^n$$","display_name":"Solving Target Set Selection with Bounded Thresholds Faster than $$2^n$$","publication_year":2022,"publication_date":"2022-09-14","ids":{"openalex":"https://openalex.org/W2883918332","doi":"https://doi.org/10.1007/s00453-022-01031-w","mag":"2883918332"},"language":"en","primary_location":{"id":"doi:10.1007/s00453-022-01031-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00453-022-01031-w","pdf_url":null,"source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1807.10789","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064783288","display_name":"Ivan Bliznets","orcid":"https://orcid.org/0000-0003-2291-2556"},"institutions":[{"id":"https://openalex.org/I2800906181","display_name":"St. Petersburg Department of Steklov Institute of Mathematics","ror":"https://ror.org/030h9s280","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2800906181","https://openalex.org/I4210124601"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ivan Bliznets","raw_affiliation_strings":["St. Petersburg Department of Steklov Institute of Mathematics of the Russian Academy of Sciences, Fontanka River Embarkment 27, 191011, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"St. Petersburg Department of Steklov Institute of Mathematics of the Russian Academy of Sciences, Fontanka River Embarkment 27, 191011, St. Petersburg, Russia","institution_ids":["https://openalex.org/I2800906181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021164153","display_name":"Danil Sagunov","orcid":"https://orcid.org/0000-0003-3327-9768"},"institutions":[{"id":"https://openalex.org/I2800906181","display_name":"St. Petersburg Department of Steklov Institute of Mathematics","ror":"https://ror.org/030h9s280","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2800906181","https://openalex.org/I4210124601"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Danil Sagunov","raw_affiliation_strings":["St. Petersburg Department of Steklov Institute of Mathematics of the Russian Academy of Sciences, Fontanka River Embarkment 27, 191011, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"St. Petersburg Department of Steklov Institute of Mathematics of the Russian Academy of Sciences, Fontanka River Embarkment 27, 191011, St. Petersburg, Russia","institution_ids":["https://openalex.org/I2800906181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064783288"],"corresponding_institution_ids":["https://openalex.org/I2800906181"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00400087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"2","first_page":"384","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10374","display_name":"Advanced Graph Theory Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10374","display_name":"Advanced Graph Theory Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/combinatorics","display_name":"Combinatorics","score":0.740246057510376},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.731390118598938},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.722119927406311},{"id":"https://openalex.org/keywords/treewidth","display_name":"Treewidth","score":0.6182910203933716},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6150049567222595},{"id":"https://openalex.org/keywords/vertex-cover","display_name":"Vertex cover","score":0.5778050422668457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5529900193214417},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5142085552215576},{"id":"https://openalex.org/keywords/undirected-graph","display_name":"Undirected graph","score":0.47452130913734436},{"id":"https://openalex.org/keywords/feedback-vertex-set","display_name":"Feedback vertex set","score":0.4471842050552368},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42667919397354126},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.4147696793079376},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.403046578168869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.17680370807647705},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.11812329292297363}],"concepts":[{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.740246057510376},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.731390118598938},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.722119927406311},{"id":"https://openalex.org/C132569581","wikidata":"https://www.wikidata.org/wiki/Q5067368","display_name":"Treewidth","level":5,"score":0.6182910203933716},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6150049567222595},{"id":"https://openalex.org/C40687702","wikidata":"https://www.wikidata.org/wiki/Q11515519","display_name":"Vertex cover","level":3,"score":0.5778050422668457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5529900193214417},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5142085552215576},{"id":"https://openalex.org/C3018234147","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Undirected graph","level":3,"score":0.47452130913734436},{"id":"https://openalex.org/C28723256","wikidata":"https://www.wikidata.org/wiki/Q1400918","display_name":"Feedback vertex set","level":4,"score":0.4471842050552368},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42667919397354126},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.4147696793079376},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.403046578168869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.17680370807647705},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.11812329292297363},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1007/s00453-022-01031-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00453-022-01031-w","pdf_url":null,"source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1807.10789","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.10789","pdf_url":"https://arxiv.org/pdf/1807.10789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"mag:2883918332","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1807.10789","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:drops-oai.dagstuhl.de:10223","is_oa":true,"landing_page_url":"https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2018.22","pdf_url":null,"source":{"id":"https://openalex.org/S4377196569","display_name":"DROPS (Schloss Dagstuhl \u2013 Leibniz Center for Informatics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799853480","host_organization_name":"Schloss Dagstuhl \u2013 Leibniz Center for Informatics","host_organization_lineage":["https://openalex.org/I2799853480"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"InProceedings"},{"id":"doi:10.48550/arxiv.1807.10789","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.10789","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.4230/lipics.ipec.2018.22","is_oa":true,"landing_page_url":"https://doi.org/10.4230/lipics.ipec.2018.22","pdf_url":null,"source":{"id":"https://openalex.org/S7407052059","display_name":"Dagstuhl Research Online Publication Server","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""},{"id":"mag:2962912836","is_oa":false,"landing_page_url":"http://drops.dagstuhl.de/opus/volltexte/2019/10223/pdf/LIPIcs-IPEC-2018-22.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1807.10789","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.10789","pdf_url":"https://arxiv.org/pdf/1807.10789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1120268233","display_name":null,"funder_award_id":"16-11-10123","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G3118402170","display_name":null,"funder_award_id":"16-11-","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G4640113837","display_name":null,"funder_award_id":"16-11-1012","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W8067098","https://openalex.org/W792793894","https://openalex.org/W2008080404","https://openalex.org/W2008489121","https://openalex.org/W2012438638","https://openalex.org/W2015963099","https://openalex.org/W2018964411","https://openalex.org/W2030703286","https://openalex.org/W2040813792","https://openalex.org/W2047470084","https://openalex.org/W2053536525","https://openalex.org/W2058486861","https://openalex.org/W2061820396","https://openalex.org/W2068424683","https://openalex.org/W2069569782","https://openalex.org/W2084200953","https://openalex.org/W2097938283","https://openalex.org/W2113826940","https://openalex.org/W2119218916","https://openalex.org/W2121641644","https://openalex.org/W2122082801","https://openalex.org/W2126913088","https://openalex.org/W2148732839","https://openalex.org/W2165086965","https://openalex.org/W2179374656","https://openalex.org/W2541036689","https://openalex.org/W2762196021","https://openalex.org/W2922172358","https://openalex.org/W2952985052","https://openalex.org/W2963731143","https://openalex.org/W2999396429","https://openalex.org/W3022472023"],"related_works":["https://openalex.org/W2940787716","https://openalex.org/W2119218916","https://openalex.org/W2613128454","https://openalex.org/W2525913907","https://openalex.org/W3011879093","https://openalex.org/W154567010","https://openalex.org/W65530203","https://openalex.org/W1541636944","https://openalex.org/W2951719725","https://openalex.org/W2971886964","https://openalex.org/W2209387264","https://openalex.org/W2134469776","https://openalex.org/W1702956999","https://openalex.org/W2950509221","https://openalex.org/W2953076192","https://openalex.org/W3184813271","https://openalex.org/W3160700943","https://openalex.org/W1493082098","https://openalex.org/W3120056150","https://openalex.org/W2042977557"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}