{"id":"https://openalex.org/W2164867076","doi":"https://doi.org/10.1145/1066677.1066954","title":"Discovering parametric clusters in social small-world graphs","display_name":"Discovering parametric clusters in social small-world graphs","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2164867076","doi":"https://doi.org/10.1145/1066677.1066954","mag":"2164867076"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-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/A5035827988","display_name":"Jonathan McPherson","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathan McPherson","raw_affiliation_strings":["University of California at Davis"],"affiliations":[{"raw_affiliation_string":"University of California at Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["University of California at Davis"],"affiliations":[{"raw_affiliation_string":"University of California at Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016227452","display_name":"Michael Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Ogawa","raw_affiliation_strings":["University of California at Davis"],"affiliations":[{"raw_affiliation_string":"University of California at Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035827988"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.5969,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73061841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9728000164031982,"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/computer-science","display_name":"Computer science","score":0.7693076133728027},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6157649755477905},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.5854342579841614},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5495088696479797},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4926929771900177},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4843696057796478},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.45372888445854187},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38217636942863464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34625306725502014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33304572105407715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693076133728027},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6157649755477905},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.5854342579841614},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5495088696479797},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4926929771900177},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4843696057796478},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.45372888445854187},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38217636942863464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34625306725502014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33304572105407715}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1066677.1066954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.116.7534","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.7534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucdavis.edu/~ma/papers/sac05a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.406.4693","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.4693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vis.cs.ucdavis.edu/papers/p1231-mcpherson.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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/F4320309626","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28"},{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W23758216","https://openalex.org/W1515517258","https://openalex.org/W1526644211","https://openalex.org/W1582841557","https://openalex.org/W1590090170","https://openalex.org/W1927747672","https://openalex.org/W1991848143","https://openalex.org/W2023846932","https://openalex.org/W2041325310","https://openalex.org/W2102100644","https://openalex.org/W2102337314","https://openalex.org/W2104075446","https://openalex.org/W2107034998","https://openalex.org/W2112090702","https://openalex.org/W2114989451","https://openalex.org/W2121564430","https://openalex.org/W2124637492","https://openalex.org/W2161200279","https://openalex.org/W2167482691","https://openalex.org/W2592610637","https://openalex.org/W2769133055","https://openalex.org/W2914136605"],"related_works":["https://openalex.org/W2346931493","https://openalex.org/W2903996962","https://openalex.org/W4312076339","https://openalex.org/W2798726020","https://openalex.org/W2068726676","https://openalex.org/W4253074067","https://openalex.org/W4319996163","https://openalex.org/W4242766880","https://openalex.org/W2756352562","https://openalex.org/W4205285720"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,23],"strategy":[3],"for":[4],"analyzing":[5],"large,":[6],"social":[7],"small-world":[8],"graphs,":[9],"such":[10],"as":[11],"those":[12],"formed":[13],"by":[14],"human":[15],"networks.":[16],"Our":[17],"approach":[18],"brings":[19],"together":[20],"ideas":[21],"from":[22],"number":[24],"of":[25],"different":[26],"research":[27],"areas,":[28],"including":[29,67],"graph":[30,32,69],"layout,":[31],"clustering":[33],"and":[34,38,48,54],"partitioning,":[35],"machine":[36],"learning,":[37],"user":[39],"interface":[40],"design.":[41],"It":[42],"helps":[43],"users":[44],"explore":[45],"the":[46],"networks":[47],"develop":[49],"insights":[50],"concerning":[51],"their":[52],"members":[53],"structure":[55],"that":[56],"may":[57],"be":[58],"difficult":[59],"or":[60],"impossible":[61],"to":[62],"discover":[63],"via":[64],"traditional":[65],"means,":[66],"existing":[68],"visualization":[70],"and/or":[71],"statistical":[72],"methods.":[73]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}