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Pavel N. Krivitsky

@krivitsky.net

Inveterate 🕸 modeller 𝑃(🦋; 𝜽) = 𝘩(🦋) exp{𝜼(𝜽) · 𝒔(🦋)} / 𝜅(𝜽) 👨🏻‍🏫 Statistics at UNSW 🇦🇺 👨🏻‍💻 10 #RStats 📦 ex-🪑 @ANSNA.org.au krivitsky.net statnet.org github.com/krivit

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Pavel N. Krivitsky @krivitsky.net · 29/01/2025

With abstract deadline for @insna.bsky.social Sunbelt2025.org conference coming up, Michael Schweinberger, Johan Koskinen, and I are welcoming submission to our organised session on Sampled and Missing Network Data. (See assets.noviams.com/novi-file-up... for description.)

Sampled and Missing Network Data
Pavel N. Krivitsky, Michael Schweinberger, Johan Koskinen

In network analysis, it is common to assume that the data are complete and constitute a census of both actors in the social setting of interest and the relationships of interest among the actors. However, it is also common for the population of interest to be large and not practical to observe or model as a whole, that is, for some actors and relations to be incompletely observed, by design, unintentionally, or because they do not wish to be.

This session concerns advances in methods for analysis of networks with sampled or missing relations and/or nodal attributes, particularly when those relations, nodal attributes and/or their statistics are the target of inference.

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Pavel N. Krivitsky @krivitsky.net · 29/01/2025

With abstract deadline for @insna.bsky.social Sunbelt2025.org conference coming up, Michael Schweinberger, Johan Koskinen, and I are welcoming submission to our organised session on Sampled and Missing Network Data. (See assets.noviams.com/novi-file-up... for description.)

000