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Sergio Ardanza-Trevijano

Researcher at University of Navarra

Publications -  19
Citations -  360

Sergio Ardanza-Trevijano is an academic researcher from University of Navarra. The author has contributed to research in topics: Abelian group & Semantic memory. The author has an hindex of 7, co-authored 17 publications receiving 312 citations. Previous affiliations of Sergio Ardanza-Trevijano include Binghamton University.

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A computational analysis of protein-protein interaction networks in neurodegenerative diseases.

TL;DR: The findings show differential centrality properties of proteins whose gene expression is impaired in neurodegenerative diseases, whereby they displayed a lower average degree in both diseases and tissues, and a higher betweenness in AD-brain and MS-blood networks.
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The semantic organization of the animal category: evidence from semantic verbal fluency and network theory

TL;DR: A verbal fluency experiment was conducted on 200 participants with the aim of inferring and representing the conceptual storage structure of the natural category of animals as a network by formulating a statistical framework for co-occurring concepts that aims to infer significant concept–concept associations and represent them as a graph.
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Topological analysis of tapped granular media using persistent homology.

TL;DR: The first Betti number of a complex is used to analyze the morphological structure of granular samples in mechanical equilibrium and states with equal packing fraction obtained with different tapping intensities are distinguished after the introduction of a filtration parameter.
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Switcher-random-walks: a cognitive-inspired mechanism for network exploration

TL;DR: In this article, the authors extended this approach to random-walking on a network (clustering) in combination to jumping (switching) to any node with certain probability and derived its analytical expression based on Markov chains.
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Switcher-random-walks: a cognitive-inspired mechanism for network exploration

TL;DR: This work extended this approach to random-walking on a network (clustering) in combination to jumping to any node with certain probability and derived its analytical expression based on Markov chains and opens a new framework to better understand and evaluate exploration, propagation and transport phenomena in other complex systems where switching-like phenomena are feasible.