{"id":"https://openalex.org/W4409657121","doi":"https://doi.org/10.1145/3696410.3714566","title":"Scalable Algorithms for Forest-Based Centrality on Large Graphs","display_name":"Scalable Algorithms for Forest-Based Centrality on Large Graphs","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657121","doi":"https://doi.org/10.1145/3696410.3714566"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714566","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714566","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","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/10.1145/3696410.3714566","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043153939","display_name":"Yubo Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubo Sun","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640699","display_name":"Haoxin Sun","orcid":"https://orcid.org/0000-0002-4626-2079"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxin Sun","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067533846","display_name":"Zhongzhi Zhang","orcid":"https://orcid.org/0000-0003-1260-2079"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhi Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043153939"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06463431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1331","last_page":"1341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.998199999332428,"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/T11478","display_name":"Caching and Content Delivery","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7673047780990601},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.746993899345398},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.680429220199585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42557913064956665},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4101422131061554},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3260166049003601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11541035771369934},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1009654700756073},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09170287847518921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673047780990601},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.746993899345398},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.680429220199585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42557913064956665},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4101422131061554},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3260166049003601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11541035771369934},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1009654700756073},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09170287847518921}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714566","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714566","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714566","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714566","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G537946182","display_name":null,"funder_award_id":"61872093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G55803007","display_name":null,"funder_award_id":"62372112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657121.pdf","grobid_xml":"https://content.openalex.org/works/W4409657121.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W1479963817","https://openalex.org/W1557340966","https://openalex.org/W1575340908","https://openalex.org/W1583155004","https://openalex.org/W1916091028","https://openalex.org/W1971421925","https://openalex.org/W1971937094","https://openalex.org/W2001864568","https://openalex.org/W2021272950","https://openalex.org/W2027514326","https://openalex.org/W2042587503","https://openalex.org/W2048000572","https://openalex.org/W2049002733","https://openalex.org/W2056944867","https://openalex.org/W2058706632","https://openalex.org/W2087720847","https://openalex.org/W2089125183","https://openalex.org/W2102401218","https://openalex.org/W2151043176","https://openalex.org/W2161984370","https://openalex.org/W2163040665","https://openalex.org/W2265341574","https://openalex.org/W2469279958","https://openalex.org/W2736852931","https://openalex.org/W2766642606","https://openalex.org/W2914556824","https://openalex.org/W2963442158","https://openalex.org/W2970633430","https://openalex.org/W2979473749","https://openalex.org/W3004064601","https://openalex.org/W3015712584","https://openalex.org/W3099358910","https://openalex.org/W3157787313","https://openalex.org/W3197728854","https://openalex.org/W3200991586","https://openalex.org/W3211738366","https://openalex.org/W4233413206","https://openalex.org/W4293051487","https://openalex.org/W4382239747","https://openalex.org/W4385562470","https://openalex.org/W4396758708","https://openalex.org/W4401857046","https://openalex.org/W6633478427"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2747930654","https://openalex.org/W2739658809","https://openalex.org/W4401278057"],"abstract_inverted_index":{"Centrality":[0],"measures":[1,21,50,68],"are":[2],"essential":[3],"for":[4,114,123],"identifying":[5],"important":[6],"nodes":[7,39],"and":[8,29,40,101,126,130],"edges":[9,41],"in":[10,45],"networks.":[11,138],"In":[12],"this":[13],"paper,":[14],"we":[15,72],"focus":[16],"on":[17,22,69,135],"two":[18,67,74,85],"forest-based":[19],"centrality":[20,27,32,49],"undirected":[23],"graphs:":[24],"forest":[25,30,58,95],"node":[26],"(FNC)":[28],"edge":[31],"(FEC),":[33],"which":[34],"capture":[35],"the":[36,57,62,66,91,94],"influence":[37],"of":[38,56,64,93,111],"through":[42,132],"their":[43,128],"participation":[44],"spanning":[46],"forests.":[47],"Both":[48],"can":[51],"be":[52],"represented":[53],"using":[54],"entries":[55,92],"matrix.":[59],"To":[60],"address":[61],"challenge":[63],"computing":[65],"large":[70],"networks,":[71],"propose":[73],"scalable":[75],"algorithms":[76,125],"from":[77],"different":[78],"perspectives.":[79],"The":[80],"first":[81],"algorithm":[82,104],"IFGN":[83],"combines":[84],"variance":[86],"reduction":[87],"techniques":[88],"to":[89,98],"approximate":[90],"matrix,":[96],"applicable":[97],"both":[99,124],"FNC":[100],"FEC.The":[102],"second":[103],"FECE":[105],"incorporates":[106],"a":[107,115],"new":[108],"physical":[109],"interpretation":[110],"FEC,":[112],"allowing":[113],"better":[116],"overall":[117],"estimation.":[118],"We":[119],"provide":[120],"error":[121],"guarantees":[122],"demonstrate":[127],"efficiency":[129],"effectiveness":[131],"extensive":[133],"experiments":[134],"various":[136],"real-world":[137]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}