327 citations · 402 across the 6 of their papers we have counts for
7 papers
Dynamical system for PageRank with a time-dependent memory
Julio Flores, Eva Primo, Daniel Rodríguez +1
Inspired by the dynamical PageRank framework of Gleich and Rossi in 2012, we introduce a continuous-time PageRank model in which the personalization vector evolves as a weighted av…
Fixed points of Personalized PageRank centrality: From irreducible to reducible networks
David Aleja, Julio Flores, Eva Primo +2
In this paper we analyze the PageRank of a complex network as a function of its personalization vector. By using this approach, a complete characterization of the existence and uni…
Time-dependent Personalized PageRank for temporal networks: discrete and continuous scales
David Aleja, Julio Flores, Eva Primo +1
In this paper we explore the PageRank of temporal networks on both discrete and continuous time scales in the presence of personalization vectors that vary over time. Also the unde…
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,…
A Perron-Frobenius theory for block matrices associated to a multiplex network
Miguel Romance, Luis Solá, Julio Flores +3
The uniqueness of the Perron vector of a nonnegative block matrix associated to a multiplex network is discussed. The conclusions come from the relationships between the irreducibi…
Eigenvector centrality of nodes in multiplex networks
Luis Sola, Miguel Romance, Regino Criado +3
We extend the concept of eigenvector centrality to multiplex networks, and introduce several alternative parameters that quantify the importance of nodes in a multi-layered network…