<p>(A) The common ancestor network has 10 nodes and one of them (node number 9) is a global regulator that regulates 8 other nodes. (B) Diagram of strain survival times showing the first fixation event at generation <i>g</i> = 6411 (indicated by the red arrow). The common ancestor network is the one that gives rise to the population of the first fixation event. (C) Structure of a randomly chosen network in the final population (generation <i>g</i> = 250000). The initial hub (node number 9) is the one marked with the red circle. Note that at the end this is not a hub anymore, but just another ordinary node of the network. (D) Distribution of the link persistence for the 10 connections of the common ancestor. The black and red histograms re...
This study explores the topological evolution of surface transportation networks, using empirical ev...
Complex systems play an important role across science and technology. However, their interwoven stru...
<p>The left panel represents the status of the network before the network evolution, in which the fo...
<p>Although all networks in the final population have the same attractor landscape, they are structu...
In an evolving population, network structure can have striking effects on the sur-vival probability ...
a. Assume the network grows as described in [1, Fig. 3b], by duplication of a gene (node) chosen uni...
Topological measures of large-scale complex networks are applied to a specific artificial regulatory...
We study the evolution of networks when the creation and decay of links are based on the position of...
<p>Topology features of networks obtained by our evolution model, where (a) is an example of supply ...
Network topology and the evolution of dynamics in an artificial regulatory network model created by ...
<p>(A) Evolution of the average network sensitivity for four different populations, each initially c...
<p>The black line represents transitivity, the red line indicates the global efficiency, the blue li...
<p>The top-left network shows the structure of the giant component of the transcription factor inter...
<p>Schematic of the intermediates we have assayed in our experiment if we assume changes in the MAD3...
<p>Nodes represent genes (or other mutatable entities, for example, pathways) and arrows represent m...
This study explores the topological evolution of surface transportation networks, using empirical ev...
Complex systems play an important role across science and technology. However, their interwoven stru...
<p>The left panel represents the status of the network before the network evolution, in which the fo...
<p>Although all networks in the final population have the same attractor landscape, they are structu...
In an evolving population, network structure can have striking effects on the sur-vival probability ...
a. Assume the network grows as described in [1, Fig. 3b], by duplication of a gene (node) chosen uni...
Topological measures of large-scale complex networks are applied to a specific artificial regulatory...
We study the evolution of networks when the creation and decay of links are based on the position of...
<p>Topology features of networks obtained by our evolution model, where (a) is an example of supply ...
Network topology and the evolution of dynamics in an artificial regulatory network model created by ...
<p>(A) Evolution of the average network sensitivity for four different populations, each initially c...
<p>The black line represents transitivity, the red line indicates the global efficiency, the blue li...
<p>The top-left network shows the structure of the giant component of the transcription factor inter...
<p>Schematic of the intermediates we have assayed in our experiment if we assume changes in the MAD3...
<p>Nodes represent genes (or other mutatable entities, for example, pathways) and arrows represent m...
This study explores the topological evolution of surface transportation networks, using empirical ev...
Complex systems play an important role across science and technology. However, their interwoven stru...
<p>The left panel represents the status of the network before the network evolution, in which the fo...