Evolving dynamical networks: A formalism for describing complex systems

Gorochowski, Thomas E.; Bernardo, Mario di; Grierson, Claire

doi:10.1002/cplx.20386

Cited by 38 publications

(21 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the complexity of the system, it is necessary to explicitly study the role of node dynamics and network structure as an integrated whole. For example, in recent work (Gorochowski et al, 2011), a comprehensive formalism called Evolving Dynamical Network is introduced, and a new modeling framework is defined to incorporate network topology, dynamics, and evolution in an integrated way. This combination can be a potential candidate to explain the emergence of seizures because seizure generation typically involves the interplay of both node dynamics (cellular mechanisms) and network structure (synaptic connectivity).…”

Section: Relationship To Cellular and Synaptic Mechanismsmentioning

confidence: 99%

The emergence of abnormal hypersynchronization in the anatomical structural network of human brain

Yan

2013

NeuroImage

View full text Add to dashboard Cite

Section: Relationship To Cellular and Synaptic Mechanismsmentioning

confidence: 99%

The emergence of abnormal hypersynchronization in the anatomical structural network of human brain

Yan

2013

NeuroImage

View full text Add to dashboard Cite

“…For each fp s , ag combination, the full range of initial conditions was exhausted by successively designating each ant as the seed. Computational simulation of this process was performed by translating this description into an evolving dynamical network [80,81] and simulating using the NetEvo software library [82] (http://www.netevo.org).…”

Section: Susceptible-infected Modelmentioning

confidence: 99%

Beyond contact-based transmission networks: the role of spatial coincidence

Richardson

Gorochowski

2015

J. R. Soc. Interface.

Self Cite

View full text Add to dashboard Cite

Animal societies rely on interactions between group members to effectively communicate and coordinate their actions. To date, the transmission properties of interaction networks formed by direct physical contacts have been extensively studied for many animal societies and in all cases found to inhibit spreading. Such direct interactions do not, however, represent the only viable pathways. When spreading agents can persist in the environment, indirect transmission via 'same-place, different-time' spatial coincidences becomes possible. Previous studies have neglected these indirect pathways and their role in transmission. Here, we use rock ant colonies, a model social species whose flat nest geometry, coupled with individually tagged workers, allowed us to build temporally and spatially explicit interaction networks in which edges represent either direct physical contacts or indirect spatial coincidences. We show how the addition of indirect pathways allows the network to enhance or inhibit the spreading of different types of agent. This dual-functionality arises from an interplay between the interaction-strength distribution generated by the ants' movement and environmental decay characteristics of the spreading agent. These findings offer a general mechanism for understanding how interaction patterns might be tuned in animal societies to control the simultaneous transmission of harmful and beneficial agents.

show abstract

“…Dynamical processes in adaptive networks are typically specified in terms of a set of rules that locally transform a part of the network, e.g., update a node's state according to its neighbourhood or modify the local connectivity of a node [10,26]. An example of such rules for an epidemiological model is shown in Figure 1.…”

mentioning

confidence: 99%