Implicit blockmodeling is a method used in social network analysis for classifying and clustering individuals or nodes in a network based on their patterns of connections or interactions, without requiring a predefined model structure. It is often utilized in the study of social structures, where the relationships between individuals can be complex and not easily described by direct measures. In implicit blockmodeling, the goal is to identify "blocks" or clusters of nodes that exhibit similar connectivity patterns.
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