activity
20212026
most citedVector Centrality in Hypergraphs

60 citations · 93 across the 4 of their papers we have counts for

collaborators

5 papers

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,…

cs.CE2024★ 4 cited

Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method

Dmitry Logashenko, Alexander Litvinenko, Raul Tempone +2

We investigate the applicability of the well-known multilevel Monte Carlo (MLMC) method to the class of density-driven flow problems, in particular the problem of salinisation of c…

math.NA2023

Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method

Alexander Litvinenko, Dmitry Logashenko, Raul Tempone +2

We consider a class of density-driven flow problems. We are particularly interested in the problem of the salinization of coastal aquifers. We consider the Henry saltwater intrusio…

physics.soc-ph2022★ 29 cited

Why are there six degrees of separation in a social network?

Ivan Samoylenko, David Aleja, Eva Primo +11

A wealth of evidence shows that real world networks are endowed with the small-world property i.e., that the maximal distance between any two of their nodes scales logarithmically…

physics.soc-ph2021★ 60 cited

Vector Centrality in Hypergraphs

Kirill Kovalenko, Miguel Romance, Ekaterina Vasilyeva +9

Identifying the most influential nodes in networked systems is of vital importance to optimize their function and control. Several scalar metrics have been proposed to that effect,…