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20162026
most citedDynamics on networks. Case of Heterogeneous Opinion Status Model

1 citations · 3 across the 8 of their papers we have counts for

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physics.soc-ph2026

Topological measures in weighted hypergraphs

Ekaterina Vasilyeva, Liubov Tupikina, Daniil Musatov +3

Higher-order interactions introduce an additional structural dimension to complex networks, requiring consistent generalizations of classical topological measures. In hypergraphs,…

physics.soc-ph2023★ 1 cited

Charting mobility patterns in the scientific knowledge landscape

Chakresh Kumar Singh, Liubov Tupikina, Fabrice Lécuyer +2

From small steps to great leaps, metaphors of spatial mobility abound to describe discovery processes. Here, we ground these ideas in formal terms by systematically studying scient…

physics.soc-ph2021

Quantifying the rise and fall of scientific fields

Chakresh Singh, Emma Barme, Robert Ward +2

Science advances by pushing the boundaries of the adjacent possible. While the global scientific enterprise grows at an exponential pace, at the mesoscopic level the exploration an…

physics.soc-ph2021

Modelling railway delay propagation as diffusion-like spreading

Mark M. Dekker, Alexey N. Medvedev, Jan Rombouts +2

Railway systems form an important means of transport across the world. However, congestions or disruptions may significantly decrease these systems' efficiencies, making predicting…

physics.soc-ph2020

Pseudo-Darwinian evolution of physical flows in complex networks

Geoffroy Berthelot, Liubov Tupikina, Min-Yeong Kang +2

The evolution of complex transport networks is investigated under three strategies of link removal: random, intentional attack and "Pseudo-Darwinian" strategy. At each evolution st…

physics.soc-ph2019

Morphological organization of point-to-point transport in complex networks

Min-Yeong Kang, Geoffroy Berthelot, Liubov Tupikina +4

We investigate the structural organization of the point-to-point electric, diffusive or hydraulic transport in complex scale-free networks. The random choice of two nodes, a source…