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Infectious disease outbreaks recapitulate biology: they emerge from the multi-level interaction of hosts, pathogens, and their shared …

We present the first EEG evidence of topological equivalence between functional network organization at intermediate and global scales …

We produce a topological chart of feature space and show that can be succesfully used for classification.

Resting state functional magnetic resonance imaging (rfMRI) can be used to measure functional connectivity and then identify brain …

We study the structure of scientific collaborations under the lens of topological data analysis. We show that it provides a natural …

The ability to learn tasks and generalize themis one of the most remarkable characteristics of general intelligence. So is the ability …

We provide a review of recent research and development in multivariate and machine learning methods-based gait analysis that can be …

Simplicial complexes are a popular way to describe multi-node interactions explicitly. We propose here a candidate to a principled null …

Against the rapidly evolving landscape of data science, topological data analysis (TDA) has carved itself a niche for the analysis of …

Persistent homology analysis, a recently developed computational method in algebraic topology, is applied to the study of the phase …

We analyse a large mobile phone activity dataset provided by Telecom Italia for the Telecom Big Data Challenge contest. The dataset …

We use a simplified network representation, called scaffolds, to show dramatic changes in the mesoscale homological structure of brain …

Complex networks equipped with topological data analysis are one of the promising tools in the study of biological systems (e.g. …

The statistical mechanical approach to complex networks is the dominant paradigm in describing natural and societal complex systems. …