{"id":"https://openalex.org/W2089756251","doi":"https://doi.org/10.1145/1968613.1968688","title":"Graph partition and identification of cluster number in data analysis","display_name":"Graph partition and identification of cluster number in data analysis","publication_year":2011,"publication_date":"2011-02-21","ids":{"openalex":"https://openalex.org/W2089756251","doi":"https://doi.org/10.1145/1968613.1968688","mag":"2089756251"},"language":"en","primary_location":{"id":"doi:10.1145/1968613.1968688","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1968613.1968688","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1968613.1968688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication","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/10.1145/1968613.1968688","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077758162","display_name":"Yu-Shiuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Shiuan Li","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022325942","display_name":"Kwang\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-1024-6106"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kwang-Cheng Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077758162"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15485429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.7691224217414856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185854911804199},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6611539125442505},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6232680082321167},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.551070511341095},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4962373375892639},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48027515411376953},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4524948298931122},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4188710153102875},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4124760627746582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3402456045150757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22535669803619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1668548285961151},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09005850553512573}],"concepts":[{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.7691224217414856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185854911804199},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6611539125442505},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6232680082321167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.551070511341095},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4962373375892639},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48027515411376953},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4524948298931122},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4188710153102875},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4124760627746582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3402456045150757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22535669803619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1668548285961151},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09005850553512573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1968613.1968688","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1968613.1968688","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1968613.1968688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/1968613.1968688","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1968613.1968688","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1968613.1968688","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2089756251.pdf","grobid_xml":"https://content.openalex.org/works/W2089756251.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W1579271636","https://openalex.org/W1981193610","https://openalex.org/W2015245929","https://openalex.org/W2097308346","https://openalex.org/W2121947440","https://openalex.org/W2132914434","https://openalex.org/W2133576408","https://openalex.org/W2134737843","https://openalex.org/W2137570937","https://openalex.org/W2165874743","https://openalex.org/W2488678869","https://openalex.org/W2572321817","https://openalex.org/W2999905431","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W3139829055","https://openalex.org/W2583811263","https://openalex.org/W3211941742","https://openalex.org/W2035944803","https://openalex.org/W2755787904","https://openalex.org/W3179250407","https://openalex.org/W2587413730","https://openalex.org/W3006690491","https://openalex.org/W4400464219","https://openalex.org/W4206763122"],"abstract_inverted_index":{"Modern":[0],"computing":[1],"with":[2],"wide":[3],"range":[4],"of":[5,20,25,52],"applications":[6],"in":[7,47],"different":[8],"areas":[9],"such":[10],"as":[11,30],"Internet,":[12],"biology,":[13],"and":[14,32,66,81,104],"social":[15],"science,":[16],"involves":[17],"large":[18],"scale":[19],"data":[21,26,80,91,132],"analysis.":[22,133],"The":[23,109],"relations":[24],"can":[27,36],"be":[28,37,75],"modeled":[29],"graphs":[31],"graph":[33,48],"partitioning":[34],"problem":[35,46,65],"effectively":[38],"approximated":[39],"by":[40,69,87],"spectral":[41],"approaches.":[42],"A":[43],"critically":[44],"important":[45],"partition":[49],"is":[50,60,67,72,125],"determination":[51],"the":[53,78,89,100,120],"cluster":[54,101],"number":[55,102],"k.":[56],"Although":[57],"eigengap":[58],"heuristic":[59],"a":[61,127],"principle":[62],"for":[63,77,119,130],"this":[64,85],"supported":[68],"theory,":[70],"it":[71],"difficult":[73],"to":[74,98],"applied":[76],"real-world":[79],"complex":[82],"graphs.":[83],"In":[84],"paper,":[86],"considering":[88],"general":[90],"analysis":[92],"scenario,":[93],"we":[94],"present":[95],"an":[96],"algorithm":[97,115],"determine":[99],"k":[103],"perform":[105],"clustering":[106],"task":[107],"simultaneously.":[108],"experimental":[110],"result":[111],"shows":[112],"that":[113],"our":[114],"works":[116],"successfully":[117],"even":[118],"real":[121],"world":[122],"data,":[123],"which":[124],"therefore":[126],"promising":[128],"tool":[129],"future":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}