A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations

SC Chabert-Liddell, P Barbillon, S Donnet… - … Statistics & Data Analysis, 2021 - Elsevier
A multilevel network is defined as the junction of two interaction networks, one level
representing the interactions between individuals and the other the interactions between …

[HTML][HTML] K-means-based algorithm for blockmodeling linked networks

A Žiberna - Social Networks, 2020 - Elsevier
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 …

[HTML][HTML] Approaches to blockmodeling dynamic networks: A Monte Carlo simulation study

M Cugmas, A Žiberna - Social Networks, 2023 - Elsevier
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 …

[HTML][HTML] Stochastic blockmodeling of linked networks

D Škulj, A Žiberna - Social Networks, 2022 - Elsevier
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 …

blockmodeling: An R package for generalized blockmodeling

M Matjašič, M Cugmas, A Žiberna - 2021 - osf.io
This paper presents the R package blockmodeling which is primarily meant as an
implementation of generalized blockmodeling (more broadly blockmodeling) for valued …

Blockmodeling, Positions and Roles

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 …

A Micro-Foundation for Roles in Networks

J Müller - 2022 - research-collection.ethz.ch
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 …

Statistical learning of collections of networks with applications in ecology and sociology

SC Chabert-Liddell - 2022 - hal.science
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 …