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Collins and Loftus [1] proposed a model of spreading activation in semantic networks stating that specific semantic memories (e.g., raspberries) are organized into a larger network that comprises concepts (e.g., fruit).
Among possible research lines we mention the development of a model of spreading that relies on some user metadata other than the topology of the network and that could fit the phenomenon of book spreading we observed.
This protease has been implicated in necrotizing fasciitis and contributes to the virulence of S. pyogenes in an animal model of spreading necrosis.
Diep et al. (2005) developed a computational model of spreading vasodilation based on a simplified representation of both smooth muscle cells and endothelial cells.
Because the Eiger/ROS/JNK signaling was also required for cell death induced by hypoxia and oxidative stress, our fly model of spreading death may be similar to brain ischemia in mammals.
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There have been a number of other models of spreading activation and semantic priming proposed in the literature (for review see [5]).
This study extends classical models of spreading epidemics to describe a coupling effect for government communication and rumor spreading after an emergency, which are both key information sources in emergency situations.
The model outlined in Fig. 7 bears some resemblance to other published models of spreading [ 53, 54] but it differs in several notable aspects.
The idea behind the model consists of spreading the dataset into cohesive term slices (clusters) to construct a defined structure.
Our toy model of crisis spreading may have neglected many potentially important factors in crisis spreading dynamics.
Here we use a model of cascade spreading to reveal architectural features of human brain networks that facilitate spreading.
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