Publications by authors named "Puck Rombach"
A guide to choosing and implementing reference models for social network analysis.
Biol Rev Camb Philos Soc
December 2021
Article Synopsis
- Analyzing social networks involves unique challenges that require specialized statistical methods, particularly the creation of reference models that help to randomize aspects of the data for hypothesis testing.
- This paper reviews various randomization procedures for generating these reference models, outlining essential steps and detailing four specific methods: permutation, resampling, sampling from a distribution, and generative models.
- The authors aim to educate social network researchers on these analytical techniques, providing insights into when to use each approach while highlighting common pitfalls to avoid, supported by examples from a simulated social environment.
We model the hierarchical evolution of an organized criminal network via antagonistic recruitment and pursuit processes. Within the recruitment phase, a criminal kingpin enlists new members into the network, who in turn seek out other affiliates. New recruits are linked to established criminals according to a probability distribution that depends on the current network structure.
View Article and Find Full Text PDFAs a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is to identify properties that enable robust learning of a motor skill.
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