Flexible random graph modelling for cell–cell interactions
Year: 2026
Type: article
Abstract: In this paper we explore generalizations to a random digraph model designed for modelling cell–cell interactions (RaCInG). In its baseline model—tested both theoretically and in biological practice—a fixed number of arcs are assigned uniformly at random to vertices that have suitable types to accept them. Generalizations to this model are explored in two directions: constructing an undirected graph version of the model, and incorporating spatial information. Both directions are driven by biological demands: better interpretability and adaptation to technological advances. We show not only that these generalizations are theoretically possible within the framework of RaCInG, but that they can be made rigorous, proving that RaCInG creates a flexible random graph framework to model cell–cell interactions.
Source: Journal of Complex Networks
Authors: Mike van Santvoort, Pim van der Hoorn
Institution: Eindhoven University of Technology
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6891845459