# Blockmodeling of multilevel networks

arXiv: https://arxiv.org/abs/1405.5978 · HTML: https://mlsanity.com/paper/1405.5978/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 May 2014.

## Built on by (most cited first, 1 of 1)

- [Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs](https://mlsanity.com/paper/2103.04944/) (2021)

## Abstract (arXiv)

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 (e.g. between organizations and people) and information on ties between those levels (e.g. information on which people are members of which organizations). Several approaches will be considered: a separate analysis of the levels; transforming all networks to one level and blockmodeling on this level using information from all levels; and a truly multilevel approach where all levels and ties among them are modeled at the same time. Advantages and disadvantages of these approaches will be discussed.