Multilayer network simplification: approaches, models and methods

R Interdonato, M Magnani, D Perna, A Tagarelli… - Computer Science …, 2020 - Elsevier
Multilayer networks have been widely used to represent and analyze systems of
interconnected entities where both the entities and their connections can be of different …

[图书][B] Multilevel network analysis for the social sciences: Theory, methods and applications

E Lazega, TAB Snijders - 2015 - Springer
Multilevel network analysis for the social sciences: Theory, methods and applications
Methodos Series 12 Emmanuel Lazega Tom AB Snijders Editors Multilevel Network …

Multilevel longitudinal analysis of social networks

J Koskinen, TAB Snijders - … the Royal Statistical Society Series A …, 2023 - academic.oup.com
Stochastic actor-oriented models (SAOMs) are a modelling framework for analysing network
dynamics using network panel data. This paper extends the SAOM to the analysis of …

The interplay between formal project memberships and informal advice seeking in knowledge-intensive firms: A multilevel network approach

J Brennecke, ON Rank - Social Networks, 2016 - Elsevier
In this study we investigate the interplay between knowledge workers' formal project team
memberships and their informal interactions from a multilevel network perspective …

Modeling uncertain and dynamic interdependencies of infrastructure systems using stochastic block models

JZ Yu, H Baroud - ASCE-ASME Journal of Risk and …, 2020 - asmedigitalcollection.asme.org
Modeling the resilience of interdependent critical infrastructure (ICI) requires a careful
assessment of interdependencies as these systems are becoming increasingly …

Approximate Bayesian inference and forecasting in huge‐dimensional multicountry VARs

M Feldkircher, F Huber, G Koop… - International Economic …, 2022 - Wiley Online Library
Panel vector autoregressions (PVARs) are a popular tool for analyzing multicountry data
sets. However, the number of estimated parameters can be enormous, leading to …

Scientific collaboration of researchers and organizations: a two-level blockmodeling approach

M Cugmas, F Mali, A Žiberna - Scientometrics, 2020 - Springer
The development and successful implementation of R&D policies depends on
understanding patterns of scientific collaboration (SC). Existing studies on SC typically focus …

Deterministic blockmodelling of signed and two‐mode networks: A tutorial with software and psychological examples

M Brusco, P Doreian, D Steinley - British Journal of …, 2021 - Wiley Online Library
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 …

Information seeking in secondary schools: A multilevel network approach

C Meredith, W Van den Noortgate, C Struyve, S Gielen… - Social networks, 2017 - Elsevier
In this study, we investigate information seeking interactions in secondary schools from a
multilevel network approach. Based on network-related theories, we examine the facilitating …

Effects of competition on collective learning in advice networks

E Lazega, A Bar-Hen, P Barbillon, S Donnet - Social Networks, 2016 - Elsevier
This paper looks at the effect of identifying alters as direct competitors on their selection as
advisors. We differentiate between two kinds of competition: cut-throat vs friendly. We argue …