MoNAn package

The Mobility Network Analysis (MoNAn) packge is the implementation of the method for the analysis of mobility newtorks as outlined in Block et al. (2022) in the statistical environment R. The software is hosted on github and available on CRAN.

The latest version of the software is published here. Documentation of the package can be found in the helpfiles of the package, in the README on github, in the MoNAnExampleScript.R  on github and in the comprehansive MoNAn Manual.

Note that we are constantly improving usability and extending functionality. Thus, the manual and the package are frequently updated; please make sure you stay up-to-date with the latest developments.

We host a small workshop for students and researchers that are interested in using the method and R package from Wed, 09 Oct 2024 to Fri, 11 Oct 2024 (early afternoon) at the University of Zurich. The workshop covers the theory of the method, as well as the software implementation. Ample time is dedicated to discussion and hands-on experience with the package. Participants are encouraged to bring their own data.

This workshop is primarily aimed at researchers that have a concrete research project in mind, preferably with a clear idea of the data to be used. Working knowledge of intermediate statistics (e.g. logistic regression) is required. Prior knowledge in statistical network methods (e.g. ERGMs) is helpful. Since the package is being constanctly developed and improved, familiarity with R is necessary.

Participation is free of charge and there are limited funds to support travel to the workshop.

Workshop material can be found here.

Material for the 2023 workshop can be found here (but beware synthax changes in MoNAn since).

Please get in touch if you are interested in participating.

Students and researchers interested in participating are invited to send an email to mobility.workshop@soziologie.uzh.ch by 15 August 2024 noting their wish to participate and a very short (~2-3 sentences) outline what they intend to research and what data they will use. There are no constraints on the type of mobility to be analysed.