{"id":"https://openalex.org/W1993736695","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250774","title":"Information loss evaluation based on fuzzy and crisp clustering of graph statistics","display_name":"Information loss evaluation based on fuzzy and crisp clustering of graph statistics","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1993736695","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250774","mag":"1993736695"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6250774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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/A5080487472","display_name":"David Nettleton","orcid":"https://orcid.org/0000-0002-5852-7716"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David F. Nettleton","raw_affiliation_strings":["Data Privacy Research Group, IIIA-CSIC, Universitat Pompeu Fabra, Bellaterra, Spain","Data Privacy Research Group, IIIA-CSIC and Universitat Pompeu Fabra, Bellaterra, Spain"],"affiliations":[{"raw_affiliation_string":"Data Privacy Research Group, IIIA-CSIC, Universitat Pompeu Fabra, Bellaterra, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Data Privacy Research Group, IIIA-CSIC and Universitat Pompeu Fabra, Bellaterra, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080487472"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":null,"apc_paid":null,"fwci":0.4849,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62901875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"245","issue":null,"first_page":"1","last_page":"8"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9937000274658203,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6559520363807678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6277203559875488},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6084425449371338},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5288687348365784},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5151432752609253},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.48626840114593506},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.474242627620697},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.466239869594574},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43313854932785034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3133450746536255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1703837811946869},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12487998604774475}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6559520363807678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277203559875488},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6084425449371338},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5288687348365784},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5151432752609253},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.48626840114593506},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.474242627620697},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.466239869594574},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43313854932785034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3133450746536255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1703837811946869},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12487998604774475}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6250774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.970.7548","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.970.7548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iiia.csic.es/files/pdfs/WCCI2012_nettleton.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W38619841","https://openalex.org/W577407893","https://openalex.org/W1779394697","https://openalex.org/W1971421925","https://openalex.org/W1977556410","https://openalex.org/W1995450389","https://openalex.org/W2008317118","https://openalex.org/W2012557827","https://openalex.org/W2019047955","https://openalex.org/W2066636486","https://openalex.org/W2096296626","https://openalex.org/W2104708746","https://openalex.org/W2104825691","https://openalex.org/W2115022330","https://openalex.org/W2115525810","https://openalex.org/W2119404697","https://openalex.org/W2121761994","https://openalex.org/W2122710250","https://openalex.org/W2124849257","https://openalex.org/W2133990480","https://openalex.org/W2138621811","https://openalex.org/W2153204928","https://openalex.org/W2159024459","https://openalex.org/W2475658966","https://openalex.org/W3101413764","https://openalex.org/W6677736305","https://openalex.org/W6678417202","https://openalex.org/W6785758468"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,81],"apply":[4],"different":[5,66],"types":[6],"of":[7,30,113,127,132],"clustering,":[8],"fuzzy":[9,121],"(fuzzy":[10],"c-Means)":[11],"and":[12,58,78,88,104],"crisp":[13],"(k-Means)":[14],"to":[15,21,26],"graph":[16],"statistical":[17,75],"data":[18,36,76],"in":[19,68,86,119,124,129],"order":[20],"evaluate":[22],"information":[23,91],"loss":[24],"due":[25],"perturbation":[27],"as":[28,62],"part":[29],"the":[31,69,73,84,90,95,111,120,125,133],"anonymization":[32],"process":[33],"for":[34],"a":[35,53],"privacy":[37],"application.":[38],"We":[39,93,108],"make":[40],"special":[41],"emphasis":[42],"on":[43],"two":[44],"major":[45],"node":[46],"types:":[47],"hubs,":[48],"which":[49,60,135],"are":[50,116],"nodes":[51,64,96,115,128],"with":[52],"high":[54],"relative":[55],"degree":[56],"value,":[57],"bridges,":[59,101,103],"act":[61],"connecting":[63],"between":[65],"regions":[67,131],"graph.":[70],"By":[71],"clustering":[72],"graph's":[74],"before":[77],"after":[79],"perturbation,":[80],"can":[82],"measure":[83],"change":[85],"characteristics":[87],"therefore":[89],"loss.":[92],"partition":[94],"into":[97],"three":[98],"groups:":[99],"hubs/global":[100],"local":[102],"all":[105],"other":[106],"nodes.":[107],"suspect":[109],"that":[110],"partitions":[112],"these":[114],"best":[117],"represented":[118],"form,":[122],"especially":[123],"case":[126],"frontier":[130],"graphs":[134],"may":[136],"have":[137],"an":[138],"ambiguous":[139],"assignment.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
