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We embrace pure-strategy Nash equilibrium, an important solution concept in non-cooperative game theory, to formally define the stable outcomes of a network influence game and to predict potential outcomes without explicitly considering intricate dynamics.
Patient-related outcomes of a network are primarily defined as the average improvement in psychosocial functioning that network-enrolled patients achieve.
Further, the improvement of a patient's quality of life as well as the average reduction in the number of hospital admissions and days spent in hospital will be used as secondary outcomes of a network.
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In the 'Simulations' section, we present the outcome of a network formation simulation that we carried out.
The outcome of any network based clustering is substantially influenced by the underlying network topology.
Note also that bursting network can be composed of individually tonic spiking cells that while inhibiting, even weekly, each other can create various bursting outcomes of the network as a whole.
It was shown recently in [3] that bursting outcomes of a multistable 3-cell network are determined by the duty cycle of bursting.
The outcome is a Network of Evolutionary Trends which supports decision making by positioning alternative technologies and technical solutions according to the LESE.
While we sought to engage broad-based participation from those that have a stake in the processes and outcomes of the network activities, it is clear that some groups had greater numbers of participants than others.
The nature of state-society relations (accommodation or repression), extent of direct democratic institutions (initiative, referendum, and recall), electoral system (majority or proportional), openness of policy-making processes, and access to political leaders significantly affect outcomes of advocacy network efforts.
In such models, the phenotypic outcomes of the network perturbations (or genetic variants) are typically differentially expressed genes.
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