Generalized blockmodeling is an advanced technique used in the analysis of social networks. It extends traditional blockmodeling methods, which classify nodes into distinct blocks (or groups) based on their patterns of connections with one another. Generalized blockmodeling allows for more flexible representations, accommodating various types of relationships and node attributes.
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