activity
20242026
collaborators

5 papers

cs.IT2026

Structure-aware divergences for comparing probability distributions

Rohit Sahasrabuddhe, Renaud Lambiotte

Many natural and social science systems are described using probability distributions over elements that are related to each other: for instance, occupations with shared skills or…

physics.soc-ph2026

From First Principles to Multi-scale Decomposition:Mutual Information as a Segregation Index

Rohit Sahasrabuddhe, Renaud Lambiotte

Segregation is a multi-scale phenomenon that requires careful measurement. A segregation index implicitly defines how the demographic compositions of locations are compared. We ide…

physics.soc-ph2025

Mapping memory-biased dynamics with compact models reveals overlapping communities in large networks

Maja Lindström, Rohit Sahasrabuddhe, Anton Holmgren +3

Many real-world systems, from social networks to protein-protein interactions and species distributions, exhibit overlapping flow-based communities that reflect their functional or…

physics.soc-ph2025

Concise network models of memory dynamics reveal explainable patterns in path data

Rohit Sahasrabuddhe, Renaud Lambiotte, Martin Rosvall

Networks are a powerful tool to model the structure and dynamics of complex systems across scales. Direct connections between system components are often represented as edges, whil…

q-bio.NC2024

Modularity, Hierarchical Flows and Symmetry of the Drosophila Connectome

Peter Grindrod, Renaud Lambiotte, Rohit Sahasrabuddhe

This report investigates the modular organisation of the Central region in the Drosophila connectome. We identify groups of neurones amongst which information circulates rapidly be…