Knowledge acquisition from social platforms based on network distributions fitting
New approach to knowledge acquisition based on social network distributions. Increased the representativeness of samples using distance from distributions. Applications in the area of collaborative learning and knowledge diffusion. Improved adaptive selection processes based on given characteristics. New algorithms following presented approach can be implemented.
collaborative learning social network analysis network sampling adaptive surveys