Correspondence and canonical analysis of relational data

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Related Items (3)

Exponential-family random graph models for multi-layer networks ⋮ Alternative approaches to correspondence analysis of sociomatrices ⋮ Logit models and logistic regressions for social networks. III: Valued relations

Uses Software

GLIM

Cites Work

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Statistical analysis of binary relational data: Parameter estimation
An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
An efficient alternating least-squares algorithm to perform multidimensional unfolding
Conformity of two sociometric relations
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Correspondence analysis used complementary to loglinear analysis
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Sequential social network data
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Scaling of Order Dependent Categorical Variables with Correspondence Analysis
Statistical analysis of discrete relational data
Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables
Grouping and Association in Contingency Tables: An Exploratory Canonical Correlation Approach
Association models and the bivariate normal for contingency tables with ordered categories
Log-Linear Models for Frequency Tables with Ordered Classifications
A dynamic model for social networks†
An Ordering Algorithm for Analysis of Data Arrays
An Approach for Quantifying Paired Comparisons and Rank Order

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