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Let us consider a network of agents where a (discrete or continuous) opinion value is associated to each agent.
The previous studies of continuous opinion formation have been mainly performed considering uniform agents (Gandica et al. 2010; Weisbuch 2004; Urbig et al. 2008).
The state of an individual i at time t is defined by its scalar, continuous opinion x i ( t ) ∈ [ 0, 1 ], while the medium is characterized by a certain value A ( t ) in that same interval.
In opinion formation models, there is a population of agents, each with a (discrete or continuous) opinion value representing its information about a subject (Deffuant et al. 2001; Gandica et al. 2010; Weisbuch 2004; Urbig et al. 2008).
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In the evolution of continuous opinions on a network, the opinions of two connected agents are updated if their difference is less than a threshold, i.e. the agents have evolving opinions (Deffuant et al. 2001; Amblard & Deffuant 2004; Lorenz 2007; Kurmyshev et al. 2011; Hegselmann & Krause 2002; Guo & Cai 2009).
In this work we considered the evolution of continuous opinions based on the modified version of bounded confidence model (Deffuant et al. 2001), which has been extensively studied in recent years (Gandica et al. 2010; Weisbuch 2004; Urbig et al. 2008).
In contrast, the multifaceted intervention presented better results, applying continuous education, opinion leader development, reminders and permanent audit and feedback [ 27, 28, 30, 31, 41, 42].
On continuous view.
In my opinion, continuous and systematic efforts to promote and enhance communication between faculty members and students are simply essential.
The results of these simulations demonstrate that, contrary to popular opinion, continuous mappings such as the Gal-Chen and Somerville transformation are not inherently limited to gentle slopes.
22, 23 In our opinion, continuous monitoring of clinical outcomes not only has the ability to assess quality of care but can actually improve surgical performance.
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