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20202026
most citedMapping memory-biased dynamics with compact models reveals overlapping communities in large networks

1 citations · 1 across the 8 of their papers we have counts for

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physics.soc-ph2025

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

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…

physics.soc-ph2024

Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events

Sofia Medina, Shazia'Ayn Babul, Rohit Sahasrabuddhe +3

In this work, we uncover patterns of usage mobile phone applications and information spread in response to perturbations caused by unprecedented events. We focus on categorizing pa…

physics.soc-ph2023

Spaces of innovation and venture formation: the case of biotech in the United Kingdom

Francesco Marzolla, Przemysław Nowak, Rohit Sahasrabuddhe +4

Patents serve as valuable indicators of innovation and provide insights into the spaces of innovation and venture formation within geographic regions. In this study, we utilise pat…

physics.soc-ph2023★ 1 cited

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-ph2021

From centre to centres: polycentric structures in individual mobility

Rohit Sahasrabuddhe, Renaud Lambiotte, Laura Alessandretti

The availability of large-scale datasets collected via mobile phones has opened up opportunities to study human mobility at an individual level. The granular nature of these datase…