A stylised view on structural and functional connectivity in dynamical processes in networks
arXiv:2106.03523
Abstract
The relationship of network structure and dynamics is one of most extensively investigated problems in the theory of complex systems of the last years. Understanding this relationship is of relevance to a range of disciplines -- from Neuroscience to Geomorphology. A major strategy of investigating this relationship is the quantitative comparison of a representation of network architecture (structural connectivity) with a (network) representation of the dynamics (functional connectivity). Analysing such SC/FC relationships has over the past years contributed substantially to our understanding of the functional role of network properties, such as modularity, hierarchical organization, hubs and cycles. Here, we show that one can distinguish two classes of functional connectivity -- one based on simultaneous activity (co-activity) of nodes the other based on sequential activity of nodes. We delineate these two classes in different categories of dynamical processes -- excitations, regular and chaotic oscillators -- and provide examples for SC/FC correlations of both classes in each of these models. We expand the theoretical view of the SC/FC relationships, with conceptual instances of the SC and the two classes of FC for various application scenarios in Geomorphology, Freshwater Ecology, Systems Biology, Neuroscience and Social-Ecological Systems. Seeing the organization of a dynamical processes in a network either as governed by co-activity or by sequential activity allows us to bring some order in the myriad of observations relating structure and function of complex networks.
References in corpus (19)
- Emergence of scaling in random networks
- Hierarchical organization of modularity in metabolic networks
- Synchronization in complex networks
- The Yeast Cell-Cycle Network Is Robustly Designed
- The Kuramoto model in complex networks
- Dynamics of Rumor Spreading in Complex Networks
- Synchronization reveals topological scales in complex networks
- Navigability of Complex Networks
- Boolean network model predicts cell cycle sequence of fission yeast
- Brain organization into resting state networks emerges at criticality on a model of the human connectome
- Estimating Granger causality from Fourier and wavelet transforms of time series data
- Model-free reconstruction of neuronal network connectivity from calcium imaging signals
- Scaling theory of transport in complex networks
- Dynamic information routing in complex networks
- Dynamic effective connectivity of inter-areal brain circuits
- Coherence in scale-free networks of chaotic maps
- Relations between large scale brain connectivity and effects of regional stimulation depend on collective dynamical state
- Master stability functions reveal diffusion-driven pattern formation in networks
- Anticipated synchronization in human EEG data: unidirectional causality with negative phase-lag