Ph.D. candidate at the Universidad de Zaragoza
I am a Ph.D. student at the Institute for Biocomputation and Physics of Complex Systems (BIFI) at the
Pietro Traversa
I am a Ph.D. student at the Institute for Biocomputation and Physics of Complex Systems (BIFI) at the
Pietro Traversa
Here are the projects I am part of.
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We study metabolic networks as weighted and directed hypergraphs. We characterize the robustness and complexity of different organisms. As a measure of robustness, we use the hypergraph communicability and the average search information as a measure of complexity. Our findings suggest that the metabolism of eukaryotes is more complex than that of prokaryotes. We also find a moderate correlation between the robustness of the metabolic hypergraph and the antibiotic resistance of some bacteria. We plan to continue the study on metabolic hypergraphs focusing on higher-order dynamics and control theory.
We compare the unbiased and maximal entropy random walks on hypergraphs. We consider two types of steps, the projected and higher-order step, for each type of random walk. We use the toy hypergraph you see in the figure to highlight the their differences. Additionally, we perform numerical experiments on synthetic and real-world hypergraphs.
This project is part of the KATY project. We study the gene co-expression networks of patients with cancer. We aim to identify key network features that can be used to predict the response to the treatment.
We study the SIS hypergraph model with critical mass dynamics that was defined here. We aim to undertsand how much the structure of the hypergraph affects the spreading process. To do so, we numerically simulate the model on synthetic hypergraphs with different degree and cardinality distributions and look at the type of the phase transition. So far we have observe discontinuous, continuous, and hybrid phase transitions.
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