D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins. Proceedings of the Thirteenth International World Wide Web Conference, page 491-501. New York, NY, ACM Press, (May 2004)
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.
%0 Conference Paper
%1 gru04b
%A Gruhl, Daniel
%A Guha, R.
%A Liben-Nowell, David
%A Tomkins, Andrew
%B Proceedings of the Thirteenth International World Wide Web Conference
%C New York, NY
%D 2004
%E Feldman, Stuart I.
%E Uretsky, Mike
%E Najork, Marc
%E Wills, Craig E.
%I ACM Press
%K imported
%P 491-501
%T Information Diffusion Through Blogspace
%X 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.
%@ 1581139128
@inproceedings{gru04b,
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.},
added-at = {2009-01-14T00:43:43.000+0100},
address = {New York, NY},
author = {Gruhl, Daniel and Guha, R. and Liben-Nowell, David and Tomkins, Andrew},
biburl = {https://www.bibsonomy.org/bibtex/25170be1d110dcad665cabd40e3d195e1/dret},
booktitle = {Proceedings of the Thirteenth International World Wide Web Conference},
crossref = {www2004},
description = {dret'd bibliography},
editor = {Feldman, Stuart I. and Uretsky, Mike and Najork, Marc and Wills, Craig E.},
index = {WWW2004},
interhash = {d5da5df5294e204702715c809f770e1f},
intrahash = {5170be1d110dcad665cabd40e3d195e1},
isbn = {1581139128},
key = {Proceedings of the Thirteenth International World Wide Web Conference},
keywords = {imported},
month = May,
pages = {491-501},
publisher = {ACM Press},
timestamp = {2009-01-14T00:43:52.000+0100},
title = {Information Diffusion Through Blogspace},
topic = {www[0.8]},
uri = {http://people.csail.mit.edu/dln/papers/blogs/idib.pdf},
year = 2004
}