ABSTRACT A potential issue of interest is figuring out how the combination of temporal and
higher-order interactions influences the collective dynamics of the brain, specifically …

The spontaneous emergence of ordered structures, known as Turing patterns, in complex
networks is a phenomenon that holds potential applications across diverse scientific fields …

Topological signals are dynamical variables not only defined on nodes but also on links of a
network that are gaining significant attention in non-linear dynamics and topology and have …

Turing patterns, arising from the interplay between competing species of diffusive particles,
have long been an important concept for describing nonequilibrium self-organization in …

Over the past few decades, the network topology is often characterized via pairwise
interactions in the field of indirect reciprocity. However, from human society to ecosystem …

In the face of persistent threats posed by infectious diseases, despite remarkable medical
advancements, understanding and efficiently controlling their spatial spread through …

With the development of the Internet, the influence of rumors is more widespread. Studying
the propagation law of rumors is an effective way to reduce the damage of rumors. We …

Turing patterns for explaining spatial distribution in nature mostly focus on continuous media
and existing networks, but only few attempts exist to study them on systems with high-order …

In many real-world phenomena, such as the reconstruction of disaster areas after an
earthquake or the stock market's recovery after an economic crisis, damaged networks are …

Turing instability in complex networks is known to be dependent on the degree distribution,
and the necessary conditions for Turing instability have been shown in the literature to have …