[HTML][HTML] Networks beyond pairwise interactions: Structure and dynamics
The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …
of the interactions among their units. Over the past decades, a variety of complex systems …
The structure and dynamics of networks with higher order interactions
All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …
depend on the specific way in which its elementary components interact. The last twenty-five …
Simplicial models of social contagion
Complex networks have been successfully used to describe the spread of diseases in
populations of interacting individuals. Conversely, pairwise interactions are often not …
populations of interacting individuals. Conversely, pairwise interactions are often not …
Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics
Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …
including human cognition. Although cognitive theories in different domains are strongly …
The why, how, and when of representations for complex systems
Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …
phenomena in a wide variety of domains, from neuroscience to computer science and …
Stability of synchronization in simplicial complexes
Various systems in physics, biology, social sciences and engineering have been
successfully modeled as networks of coupled dynamical systems, where the links describe …
successfully modeled as networks of coupled dynamical systems, where the links describe …
The importance of the whole: topological data analysis for the network neuroscientist
Data analysis techniques from network science have fundamentally improved our
understanding of neural systems and the complex behaviors that they support. Yet the …
understanding of neural systems and the complex behaviors that they support. Yet the …
Intralayer and interlayer synchronization in multiplex network with higher-order interactions
Recent developments in complex systems have witnessed that many real-world scenarios,
successfully represented as networks, are not always restricted to binary interactions but …
successfully represented as networks, are not always restricted to binary interactions but …
A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic–extrinsic rewards.
K Murayama - Psychological Review, 2022 - psycnet.apa.org
Recent years have seen a considerable surge of research on interest-based engagement,
examining how and why people are engaged in activities without relying on extrinsic …
examining how and why people are engaged in activities without relying on extrinsic …
Contributions of modern network science to the cognitive sciences: Revisiting research spirals of representation and process
Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a
goal that has greatly benefitted from the application of network science approaches. This …
goal that has greatly benefitted from the application of network science approaches. This …