Community Detection with the Map Equation and Infomap

What is it about?

Community detection is the primary method for analyzing complex systems' organizational and functional structure. Our tutorial paper focuses on a popular community detection method called the map equation and its search algorithm Infomap. Over the last 15 years, we and other researchers have built on the original map equation framework and proposed various generalizations that enable more accurate descriptions of modular regularities in richer representations of complex systems. Researchers across diverse fields have found the map equation a go-to method for uncovering modular structures in complex systems. Whether applied to biogeographical regions, protein interaction networks, or social networks, its flexibility in adapting to different assumptions about network structure and dynamics is a key advantage.

Featured Image

Photo by BoliviaInteligente on Unsplash

Photo by BoliviaInteligente on Unsplash

Why is it important?

Fully exploiting its flexibility and selecting the appropriate map equation variant for specific applications requires a solid understanding of its underlying principles. By offering comprehensive insights into fundamental concepts and practical applications, we have crafted our tutorial to serve as an indispensable resource for researchers aspiring to harness the full potential of the map equation in their investigations. Additionally, we offer practical implementation support through Jupyter notebooks containing code examples.

Perspectives