{"id":"https://openalex.org/W4281396221","doi":"https://doi.org/10.1145/3534540.3534694","title":"Batch dynamic algorithm to find <i>k</i> -core hierarchies","display_name":"Batch dynamic algorithm to find <i>k</i> -core hierarchies","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4281396221","doi":"https://doi.org/10.1145/3534540.3534694"},"language":"en","primary_location":{"id":"doi:10.1145/3534540.3534694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534540.3534694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534540.3534694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3534540.3534694","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014056013","display_name":"Kasimir Gabert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kasimir Gabert","raw_affiliation_strings":["Sandia National Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101869105","display_name":"Ali P\u0131nar","orcid":"https://orcid.org/0000-0002-0912-9623"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Pinar","raw_affiliation_strings":["Sandia National Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026046737","display_name":"\u00dcmit V. \u00c7ataly\u00fcrek","orcid":"https://orcid.org/0000-0002-5625-3758"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"\u00dcmit V. \u00c7ataly\u00fcrek","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2031,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46178942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9959999918937683,"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/T11106","display_name":"Data Management and Algorithms","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.695106029510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935404539108276},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.620864748954773},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4910163879394531},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.46795523166656494},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4037429392337799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3726882338523865},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37057769298553467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1111295223236084}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.695106029510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935404539108276},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.620864748954773},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4910163879394531},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.46795523166656494},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4037429392337799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3726882338523865},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37057769298553467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1111295223236084},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534540.3534694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534540.3534694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534540.3534694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3534540.3534694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534540.3534694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534540.3534694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1859920734","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320337547","funder_display_name":"Laboratory Directed Research and Development"},{"id":"https://openalex.org/G2209453243","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2214935549","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320338291","funder_display_name":"Sandia National Laboratories"},{"id":"https://openalex.org/G4771968897","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4903105778","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G4947178736","display_name":null,"funder_award_id":"-NA0003525","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5211897158","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G5339743583","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G6127774790","display_name":null,"funder_award_id":"1919021","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6627486083","display_name":null,"funder_award_id":"CCF-1919021","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G70797072","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320337547","funder_display_name":"Laboratory Directed Research and Development"},{"id":"https://openalex.org/G7921003313","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8178004050","display_name":null,"funder_award_id":"contract DE-NA0003525","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G8279418378","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320338291","funder_display_name":"Sandia National Laboratories"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281396221.pdf","grobid_xml":"https://content.openalex.org/works/W4281396221.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1576857282","https://openalex.org/W1964419312","https://openalex.org/W1981086745","https://openalex.org/W1984903982","https://openalex.org/W1994727615","https://openalex.org/W2012559638","https://openalex.org/W2013081353","https://openalex.org/W2022704179","https://openalex.org/W2071213388","https://openalex.org/W2071864549","https://openalex.org/W2082773934","https://openalex.org/W2094224753","https://openalex.org/W2111708605","https://openalex.org/W2133131640","https://openalex.org/W2146591355","https://openalex.org/W2148606255","https://openalex.org/W2159929956","https://openalex.org/W2326649039","https://openalex.org/W2436509158","https://openalex.org/W2528743325","https://openalex.org/W2592129257","https://openalex.org/W2597368679","https://openalex.org/W2739409954","https://openalex.org/W2759385412","https://openalex.org/W2802067478","https://openalex.org/W2904217633","https://openalex.org/W2911528866","https://openalex.org/W2912708407","https://openalex.org/W2949055953","https://openalex.org/W2962676535","https://openalex.org/W2962788915","https://openalex.org/W2963054764","https://openalex.org/W2986386290","https://openalex.org/W2995659391","https://openalex.org/W3004078918","https://openalex.org/W3011712100","https://openalex.org/W3028817169","https://openalex.org/W3031984569","https://openalex.org/W3088303814","https://openalex.org/W3092130890","https://openalex.org/W3114534081","https://openalex.org/W3120750584","https://openalex.org/W3137198243","https://openalex.org/W3176274902","https://openalex.org/W6622391332","https://openalex.org/W6686091084"],"related_works":["https://openalex.org/W1993191611","https://openalex.org/W2023938924","https://openalex.org/W2918840249","https://openalex.org/W1991859582","https://openalex.org/W2110053126","https://openalex.org/W2079303253","https://openalex.org/W2104702637","https://openalex.org/W4248099758","https://openalex.org/W4316651486","https://openalex.org/W2979015021"],"abstract_inverted_index":{"Finding":[0],"k-cores":[1],"in":[2,61],"graphs":[3,109,122],"is":[4,68],"a":[5,52,73],"valuable":[6],"and":[7,95],"effective":[8],"strategy":[9],"for":[10,112],"extracting":[11],"dense":[12,60],"regions":[13],"of":[14,24,34,50],"otherwise":[15],"sparse":[16],"graphs.":[17],"We":[18,71,91],"focus":[19,46],"on":[20,27,47,106,120],"the":[21,48,65],"important":[22],"problem":[23,49],"maintaining":[25,51],"cores":[26],"rapidly":[28,107],"changing":[29,108],"dynamic":[30,44,75],"graphs,":[31],"where":[32],"batches":[33],"edge":[35,118],"changes":[36],"need":[37],"to":[38,78],"be":[39,104],"processed":[40],"quickly.":[41],"Many":[42],"prior":[43],"algorithms":[45],"core":[53,101],"decomposition.":[54],"This":[55],"finds":[56],"vertices":[57],"that":[58,85,98],"are":[59],"some":[62],"subgraph,":[63],"but":[64],"subgraph":[66],"itself":[67],"not":[69],"returned.":[70],"develop":[72],"new":[74],"batch":[76],"algorithm":[77,94],"maintain":[79],"cores,":[80],"with":[81,99],"their":[82],"connected":[83],"subgraphs,":[84],"improves":[86],"efficiency":[87],"over":[88,125],"processing":[89,129],"edge-by-edge.":[90],"implement":[92],"our":[93],"experimentally":[96],"show":[97],"it":[100],"queries":[102],"can":[103],"returned":[105],"quickly":[110],"enough":[111],"interactive":[113],"applications.":[114],"For":[115],"1":[116],"million":[117],"batches,":[119],"many":[121],"we":[123],"run":[124],"100x":[126],"faster":[127],"than":[128],"edge-by-edge":[130],"while":[131],"remaining":[132],"under":[133],"re-computing":[134],"from":[135],"scratch.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
