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Published online on January 27, 2004, 10.1073/pnas.0307554100
PNAS | April 6, 2004 | vol. 101 | Suppl. 1 | 5261-5265


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COLLOQUIUM PAPERS
Evolution of document networks

Filippo Menczer {dagger}

School of Informatics, Indiana University, Bloomington, IN 47408

How does a network of documents grow without centralized control? This question is becoming crucial as we try to explain the emergent scale-free topology of the World Wide Web and use link analysis to identify important information resources. Existing models of growing information networks have focused on the structure of links but neglected the content of nodes. Here I show that the current models fail to reproduce a critical characteristic of information networks, namely the distribution of textual similarity among linked documents. I propose a more realistic model that generates links by using both popularity and content. This model yields remarkably accurate predictions of both degree and similarity distributions in networks of web pages and scientific literature.

This paper results from the Arthur M. Sackler Colloquium of the National Academy of Sciences, "Mapping Knowledge Domains," held May 9-11, 2003, at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA.

{dagger} E-mail: fil{at}indiana.edu.


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