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Author Liben-Nowell, David ♦ Tomkins, A. ♦ Gruhl, D. ♦ Guha, R.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
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.
Description Affiliation: Laboratory for Computer Science (Liben-Nowell, David) || IBM Research, Almaden (Gruhl, D.; Guha, R.; Tomkins, A.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-06-01
Publisher Place New York
Journal ACM SIGKDD Explorations Newsletter (SKDD)
Volume Number 6
Issue Number 2
Page Count 10
Starting Page 43
Ending Page 52

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Source: ACM Digital Library