The paper presents a k-means-based algorithm for blockmodeling linked networks where linked networks are defined as a collection of one-mode and two-mode networks in which …
Blockmodeling refers to a variety of statistical methods for reducing and simplifying large and complex networks. While methods for blockmodeling networks observed at one time …
Blockmodeling linked networks aims to simultaneously cluster two or more sets of units into clusters based on a network where ties are possible both between units from the same set …
This paper presents the R package blockmodeling which is primarily meant as an implementation of generalized blockmodeling (more broadly blockmodeling) for valued …
P Doreian, A Ferligoj, V Batagelj - The Sage Handbook of Social …, 2024 - sk.sagepub.com
Sage Reference - The Sage Handbook of Social Network Analysis - Blockmodeling, Positions and Roles Skip to main content About Browse Reference Select discipline: Select subject …
Networks have served as models for phenomena in many different disciplines, such as the Social Sciences, Biology, Linguistics, Medicine and Physics. In the study of such networks …
This thesis deals with the development of statistical methods for the analysis of collections of interaction networks through three original contributions. Interaction networks are a natural …