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Most Influential WWW 2004 Paper · 2026-03 edition

Information Diffusion Through Blogspace

Daniel Gruhl; R. Guha; David Liben-Nowell; Andrew Tomkins

Venue
ACM Web Conference (WWW) 2004
Recognition
Most Influential WWW 2004 Paper (Rank No. 3)
Edition
2026-03
Impact factor
9
Certificate ID
39151c01fd262eff

Abstract

We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We characterize and model this collection at two levels. First, we present a macroscopic characterization of topic propagation through our corpus, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community. Second, we present a microscopic characterization of propagation from individual to individual, drawing on the theory of infectious diseases to model the flow. We propose, validate, and employ an algorithm to induce the underlying propagation network from a sequence of posts, and report on the results.

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