作者: Vladimir Batagelj , Patrick Doreian , Anuška Ferligoj
DOI: 10.1016/0378-8733(92)90016-Z
关键词: Discrete mathematics 、 Partition (database) 、 Mathematics 、 Mathematical optimization 、 Empirical data 、 Structure (category theory) 、 Equivalence (measure theory) 、 Criterion function 、 Measure (mathematics)
摘要: Abstract Most partitions of social network (relational) data are presented and interpreted with little attention to assessing the adequacy partitions. We present a new criterion function that operationalizes concept regular equivalence provides measure departure any structure from an exact partition. then use local optimization procedure locate where algorithm minimizes function. After applying these methods for constructed empirical sets, we compare our results those obtained using other methods.