Network graphs are a key tool to analyse interactions between a set of entities. i-CONN projects will investigate structural connectivity/functional connectivity relationships on graphs with a focus on minimal models and self-organized collective patterns.
Minimal models of dynamics on networks to study generic SC/FC relationships
Self-organized collective patterns on graphs
Catastrophic transitions: Regime shifts in network topology resulting in novel systems
Network structure depends partly on the scale at which the fundamental unit of the network is represented. i-CONN projects will investigate how the representation of the fundamental unit impacts our understanding of system dynamics at larger spatial scales, and will explore how the structure and properties of networks can be used to determine how shifts in network topology can result in novel systems.
Connectivity within network processes and coupling with global flows
Understanding the emergence of connectivity science in practice: a network of network colleagues
Use connectivity science to determine the fate (source-pathway-interceptors) of specific diffuse chemicals and pathogens in the water supply chain
Scaling connectivity science in fluvial systems
Central to i-CONN is establishing a set of common methods that can be used to investigate connectivity-related research questions across wide-ranging disciplines. i-CONN projects will delve into classic and powerful techniques related to complex systems, including graph theory, probability theory and statistics, as well as modern and promising ones such as Network Science, machine learning and data mining techniques and tools.
Analysis of multi-frequency dynamic coherence networks in large-scale electrophysiological recordings
Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology
Critical nodes are widely considered to be a set of nodes whose deletion results in maximum fragmentation of the network. i-CONN projects will explore how critical nodes within a range of different types of complex systems become key processing points in space and time that shape system evolution and how they might be manipulated to alter system dynamics.
Spatial and temporal roles of critical nodes in ecogeomorphic systems
Flows of critical (energy) resources
Critical nodes in economic connectivity: A multi-method application to facilitate structural transitions
Changes to structural and functional connectivity within a system can have affect the resilience of different system components. I-CONN projects will explore how network measures can be used to identify changing connectivity properties that impact resilience.
Hotspots and hot moments: the role of connectivity and resilience science for managing human-impacted catchment systems
Resilience of human interactions with new landscapes
Changing connectivity properties impacting resilience in riverine landscapes as socio-ecological systems