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20002026
most citedEmergence of network features from multiplexity

577 citations · 887 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.SI2026

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…

cs.SI2025

Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science

Myriam Nonaka, F. Javier Marín-Rodríguez, 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…

cs.SI2025

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…

cs.SI2025

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…

cs.SI2024

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…

cs.SI2017

Credit card fraud detection through parenclitic network analysis

Massimiliano Zanin, Miguel Romance, Santiago Moral +1

The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications. While this has hitherto been tackled through data ana…