The article presents several approaches to the blockmodeling of multilevel network data. Multilevel network data consist of networks that are measured on at least two levels (eg …
Borgatti and Everett's model (2000) remains the prevailing standard for identifying categorical core-periphery structures in empirical networks, yet this method poses two …
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 …
L Prota, P Doreian - Social Networks, 2016 - Elsevier
We examine mapping latent roles to reveal meaningful structures of social relations with a focus on substance. Equivalence types are discussed in relation to data and the match (or …
Understanding the patterns and underlying mechanisms that come into play when employees exchange their knowledge is crucial for their work performance and professional …
This paper presents the R package blockmodeling which is primarily meant as an implementation of generalized blockmodeling (more broadly blockmodeling) for valued …
A Žiberna - Advances in network clustering and blockmodeling, 2019 - Wiley Online Library
This chapter introduces blockmodeling of linked networks. Essentially, it is shown that the multilevel blockmodeling approach can also be used for other types of linked networks. The …
A Žiberna, E Lazega - Multilevel Network Analysis for the Social Sciences …, 2016 - Springer
The chapter presents a blockmodeling analysis of multilevel (inter-individual and inter- organizational) networks. Several approaches are presented and used to blockmodel such …
C Nordlund, A Žiberna - Advances in network clustering and …, 2019 - Wiley Online Library
This chapter provides an overview of approaches, classical as well as recent innovations, to the clustering/blockmodeling of valued networks. It focuses exclusively on one‐mode, single …