Social networks on the Web are growing dramatically in size and number. The huge popularity of sites like MySpace, Facebook, and others has drawn in hundreds of millions of users, and the attention of scientists and the media. The public accessibility of Web–based social networks offers great promise for researchers interested in studying the behavior of users and how to integrate social information into
applications. However, to do that effectively, it is necessary to understand how networks grow and change. Over a two–year period we have collected data on every social network we could identify, and we also gathered daily information on thirteen networks over a 47–day period. In this article, we present the first comprehensive survey of Web–based social networks, followed by an analysis of membership and relationship dynamics within them. From our analysis of these data, we present several conclusions on how users behave in social networks, and what network features correlate with that behavior.
Data Linking for the Semantic Web
