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Models of preferential choice that account for context effects largely assume a within-dimension comparison process.
Cellular automata models of preferential directional diffusion through these chreodes support the theory.
Although further work on more strongly structured soil horizons, especially subsoils, would be desirable, it is tentatively suggested that percolation concepts could prove useful to estimate the conducting macroporosity in management models of preferential flow and transport.
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It has been suggested that the scale-free properties of biological networks may in part be due to a model of preferential attachment by means of gene duplication, whereby new nodes preferentially attach to existing highly connected nodes.
We study the small world network, a model of preferential linking structure, and the classical Erdős Renyi random graph as particular examples of network topologies.
However, it has proven challenging to step beyond a conceptual model to implementing, parameterizing and testing an appropriate numerical model of preferential flow.
This conceptualization enhances the understanding and modeling of preferential flow dynamics at the small catchment scale, particularly with regard to the role of detailed soil mapping and lateral flow in hillslope hydrology.
Our results support the model of preferential retention of duplicated self-interacting genes.
One prominent example is the model of preferential attachment [ 4, 5], where new species entering the network tend to link to species already well-connected.
In this regard, horizontal gene transfer can be considered as an additional biological mechanism to the existing model of preferential attachment.
We conducted several simulation studies of an evolving network following Barabasi and Albert's [ 1] and Wagner's [ 6] model of preferential attachment, to determine whether the degree of preferential attachment we observe in Figure 5 could influence network structure.
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