Knowledge acquisition from social platforms based on network distributions fitting
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Social network analysis,Network sampling,Collaborative learning,Adaptive surveys
论文评审过程：Available online 27 December 2014, Version of Record 29 July 2015.
论文官网地址：https://doi.org/10.1016/j.chb.2014.12.015
