Understanding Crowds' Migration on the Web
Source: Northwestern University
Consider a network where nodes are websites and the weight of a link that connects two nodes corresponds to the average number of users that visits both of the two websites over longer timescales. Such user-driven Web network is not only invaluable for understanding how crowds' interests collectively spread on the Web, but also useful for applications such as advertising or search. In this paper, the authors manage to construct such a network by 'Putting together' pieces of information publicly available from the popular analytics websites.