Abstract

Weblogs link together in a complex structure through which new ideas and discourse can flow. Such a structure is ideal for the study of the propagation of information. In this paper we describe general categories of information epidemics and create a tool to infer and visualize the paths specific infections take through the network. This inference is based in part on a novel utilization of data describing historical, repeating patterns of infection. We conclude with a description of a new ranking algorithm, iRank, for blogs. In contrast to traditional ranking strategies, iRank acts on the implicit link structure to find those blogs that initiate these epidemics.

Workshop on the Weblogging Ecosystem, 13th International World Wide Web Conference, May 18th, 2004. Pre-print available as PDF (465Kb)

Additional info and demonstrations: here