6 papers
Dynamical system for PageRank with a time-dependent memory
Julio Flores, Eva Primo, Daniel RodrÃguez +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…
Parenclitic hypergraphs and their application in personalized cancer therapy
K. K. H. Manjunatha, D. Aleja, F. Liu +16
Understanding the differences between individual instances of the same complex system remains a central challenge, particularly in biological contexts. Parenclitic networks constit…
Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science
Myriam Nonaka, F. Javier MarÃn-RodrÃguez, Alexander Jiricny +4
We construct the Bitcoin User Network (BUN) directly from raw blockchain data up to late 2025, which allows us to explore its mesoscopic properties and trace its temporal evolution…
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…
Fully personalized PageRank and algebraic methods to distribute a random walker
Gonzalo Contreras-Aso, Regino Criado, Miguel Romance
We present a comprehensive analysis of algebraic methods for controlling the stationary distribution of PageRank-like random walkers. Building upon existing literature, we compile…
On the application of Visibility Graphs in the Spectral Domain for Speaker Recognition
Hernan Bocaccio, Sergio Iglesias-Pérez, Miguel Romance +2
In this study, we explore the potential of visibility graphs in the spectral domain for speaker recognition. Adult participants were instructed to record vocalizations of the five…