We start our chapter with a discussion of social systems composed of positions and roles.
This is followed by a set of methods for identifying positions and roles and for delineating …

Deterministic blockmodelling is a well‐established clustering method for both exploratory
and confirmatory social network analysis seeking partitions of a set of actors so that actors …

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 …

Social network data usually contain different types of errors. One of them is missing data due
to actor non-response. This can seriously jeopardize the results of analyses if not …

Social network data are prone to errors regardless their source. This paper focuses on
missing data due to actor non-response in valued networks. If actors refuse to provide …

The paper starts with an observation that the blockmodeling of relatively sparse binary
networks (where we also expect sparse non-null blocks) is problematic. The use of regular …

The two-mode KL-means partitioning (TMKLMP) problem has a number of important
applications in the social and physical sciences. For example, the intra-block variability …

Collaborative learning activities have shown to be useful to address educational processes
in several contexts. Monitoring these activities is mandatory to determine the quality of the …

Druzboslovna informatika kot znanstveno in studijsko podrocje pomeni sticisce med
obravnavo informacijsko-komunikacijskih tehnologij (IKT) kot informaticno-metodoloskega …

Blockmodeling is viewed often as a data reduction method. However, this is a simplistic view
of the class of methods designed to uncover social structures, identify subgroups, and reveal …