Applying adaptive web sampling in social network studies

The importance of social network studies and their effects in the entire world are growing rapidly. Users of social networks are usually hidden and secret; therefore they don’t have a clear sampling frame. When sampling frame is not available, conventional sampling designs are not efficient. Adaptive web sampling is an appropriate and flexible method for studying social network users like WhatsApp, Viber, Telegram and so on. In this paper, efficiency of adaptive web sampling is compared with simple random sampling in the real population Statistical students of Razi University which are used WhatsApp

Keywords:

Link , WhatsApp , Hidden sub-population