High-order structures have been recognised as suitable models for system...
Understanding how different networks relate to each other is key for
obt...
The extensive surviving corpus of the ancient scholar Plutarch of Chaero...
Social dilemmas are situations in which collective welfare is at odds wi...
Information decompositions quantify how the Shannon information about a ...
Topological data analysis asks when balls in a metric space (X,d)
inters...
Historical processes manifest remarkable diversity. Nevertheless, schola...
We construct a Floer type boundary operator for generalised Morse-Smale
...
The relations, rather than the elements, constitute the structure of
net...
Motivated by the methods and results of manifold sampling based on Ricci...
This position paper looks into the formation of language and shows ties
...
Transfer entropy is an established method for quantifying directed
stati...
Based on two classical notions of curvature for curves in general metric...
This paper focuses on latent representations that could effectively deco...
We develop a definition of Ricci curvature on directed hypergraphs and
e...
In this paper we develop a functorial language of probabilistic mappings...
Many experiments have been performed that use evolutionary algorithms fo...
The unique information (UI) is an information measure that quantifies a
...
In contrast to graph-based models for complex networks, hypergraphs are ...
Given two channels that convey information about the same random variabl...
We have performed an empirical comparison of two distinct notions of dis...