Community detection for graphons

As used for "Modularity maximisation for graphons", please find code here.

Hypergraphs for protein interaction analysis

As used for "Hypergraphs for predicting essential genes using multiprotein complex data", please find code here.

scPPIN: Integrating single-cell RNA-seq data with protein interaction data (R)

As used for "Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks", please find code here.

Contagion Maps (Matlab and C++, or Python)

As used for "Topological data analysis of contagion maps for examining spreading processes on networks", please find Matlab code here. Python implementations of truncated contagion maps are available under here.

Teaching Material `Networks and Complex Systems'

Benjamin F. Maier and I tought a two-week summer school for high-school students and the teaching material is available on GitHub.

Illustrating Collaboration Networks with D3

I created a python script that takes a bibliography file and creates a collaboration network in JSON format from it. This can then be illustrated as an interactive network with the JavaScript library D3. Find the code on GitHub and some examples here.

Illustrating House of Commons Votes with D3

I created interactive illustrations for the inidcative votes concerning Brexit in Spring 2019. Illustrations for March 27 and April 1 and the code on GitHub.

Participation and dispersion of nodes in networks

Matlab code on how to define the role of nodes in the mesoscale of complex networks here. Used in Klimm et al., New Journal of Physics 2014 [ Link].

Networks and museum collections

Data of the material -- object network from The Metropolitan Museum of Art. The Met kindly provides the updated raw data here. We constructed a network from the data in Fall 2014. Used in Griffin and Klimm, Oxford Handbook of Archaeological Network Research (Oxford University Press).

Building web apps with Shiny and visNetwork

This tutorial illustrates the usage of the R libraries Shiny and visNetwork for the creation of interactive web apps. The tutorial is available here and you will learn to create this web app.

Illustrating Networks in Latex with tikz

This excellent library is not created by myself but Jürgen Hackl. You can find it here. It is particularly well-suited for multilayer networks.