
In a network, the components of a given system are represented as nodes, the interactions are abstracted as links between the nodes. Boolean networks refer to a class of dynamics on networks, in fact it is the simplest possible dynamics where each node has a value 0 or 1. This allows to investigate extensively the dynamics both analytically and by numerical experiments. The present article focuses on the theoretical concept of relevant components and their immediate application in plant biology. References for more in-depth treatment of the mathematical details are also given.
info:eu-repo/classification/ddc/570, boolean networks, dynamics on networks, relevant component, Plant culture, Plant Science, Boolean networks, SB1-1110, Arabidopsis thaliana leaf epidermis, relevant components, ddc:570, complex systems, node space vs state space, boolean networks, dynamics on networks, complex systems, relevant component
info:eu-repo/classification/ddc/570, boolean networks, dynamics on networks, relevant component, Plant culture, Plant Science, Boolean networks, SB1-1110, Arabidopsis thaliana leaf epidermis, relevant components, ddc:570, complex systems, node space vs state space, boolean networks, dynamics on networks, complex systems, relevant component
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
