Add to ORKGThere are two main kinds of multi-branching: (I) a single one-to-many branching and (II) a succession of generations of bifurcations (i.e. of one-to-two branchings). Type II is well known because of its relevance to comparatively normal networks such as in the lung, cardiovascular or cranial systems. Type I is also of practica
In the last two decades, complex and detailed DEA models that consider the internal structure of DMU...
Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal var...
<p>The bifurcation diagrams describe stationary states branches as the conductance of the leak curre...
What do societies, the Internet, and the human brain have in common? They are all examples of comple...
<p>(A, C, E) Normal branching pattern. (B, D, F) Branching pattern without side branching. The first...
In most natural and engineered systems, a set of entities interact with each other in complicated pa...
The bifurcations in a four-variable ODE model of an SIS type epidemic on an adaptive network are st...
The analysis and modelling of various complex networks has received much at-tention in the last few ...
Bipartite networks refer to a specific kind of network in which the nodes (or actors) can be partiti...
International audienceThe relevant scale for the study of the electrical activity of neural networks...
In this paper, we investigate epileptic seizures with the help of bifurcations in the network of neu...
<p>(a) A bipartite sub-network extracted from the complex-drug network. (b) The drug and protein com...
Understanding cascading processes on complex network topologies is paramount for modelling how disea...
Understanding how and at what scale features emerge from complex natural and social systems has pres...
Network science plays a central role in the study of complex systems, offering a range of computatio...
In the last two decades, complex and detailed DEA models that consider the internal structure of DMU...
Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal var...
<p>The bifurcation diagrams describe stationary states branches as the conductance of the leak curre...
What do societies, the Internet, and the human brain have in common? They are all examples of comple...
<p>(A, C, E) Normal branching pattern. (B, D, F) Branching pattern without side branching. The first...
In most natural and engineered systems, a set of entities interact with each other in complicated pa...
The bifurcations in a four-variable ODE model of an SIS type epidemic on an adaptive network are st...
The analysis and modelling of various complex networks has received much at-tention in the last few ...
Bipartite networks refer to a specific kind of network in which the nodes (or actors) can be partiti...
International audienceThe relevant scale for the study of the electrical activity of neural networks...
In this paper, we investigate epileptic seizures with the help of bifurcations in the network of neu...
<p>(a) A bipartite sub-network extracted from the complex-drug network. (b) The drug and protein com...
Understanding cascading processes on complex network topologies is paramount for modelling how disea...
Understanding how and at what scale features emerge from complex natural and social systems has pres...
Network science plays a central role in the study of complex systems, offering a range of computatio...
In the last two decades, complex and detailed DEA models that consider the internal structure of DMU...
Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal var...
<p>The bifurcation diagrams describe stationary states branches as the conductance of the leak curre...