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The information class".
In this framework, we consider two groups and one information class (e.g., class 1).
In this evaluation scenario, based on the description of "Information diffusion modeling and analysis without control", we consider one information class and two groups with different interests in this information class.
In Group 1 the participants of which are highly interested in this information class, finally all nodes become infected.
The initial conditions are (I^m(0)=I_0^m, forall m), i.e., (I_0^m) nodes are initially infected for each information class m via the social layer.
Exogenous impact such as the optimal control which will be introduced in "Optimal control framework for information diffusion", may be leveraged to alleviate in a certain degree such phenomena of extinction of a whole information class.
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Nor does the fact that careers information classes are not specifically resourced or required by government help create the right incentives for schools to raise their game.
2) Disagreements between Normal and Information classes Disagreements between the Normal and Information classes are the most common among all disagreements.
In contrast, Normal and Information classes do not have such an obvious signal for their classification.
SRH information classes included any health education sessions/talks/classes that emphasized on SRH given at schools, clinics, or other places including peer-based education and excluding mass media.
From the results, we found that the annotators seemed to disagree on the location selection more often for event-predicates in the Hypothetical and Information classes than for event-predicates in the Normal and Reporting classes.
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