{"title":"SOCK: a sociometric analysis system","authors":"R. Alba, M. Gutmann","doi":"10.1145/1103251.1103252","DOIUrl":null,"url":null,"abstract":"The SOCK system is intended to provide a set of procedures for sociometric clique identification. The procedures in SOCK are based upon numerical clustering techniques which isolate highly interrelated subsets of individuals. Since clustering techniques do not generally work well when operating on simple dichotomous choice data, i.e., on adjacency matrices, these procedures involve the derivation of some matrix of pairwise social distance or proximity from the dichotomous choice data.","PeriodicalId":129356,"journal":{"name":"ACM Sigsoc Bulletin","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsoc Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1103251.1103252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
The SOCK system is intended to provide a set of procedures for sociometric clique identification. The procedures in SOCK are based upon numerical clustering techniques which isolate highly interrelated subsets of individuals. Since clustering techniques do not generally work well when operating on simple dichotomous choice data, i.e., on adjacency matrices, these procedures involve the derivation of some matrix of pairwise social distance or proximity from the dichotomous choice data.
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