11/3/2011 3:30pm-4:30pm ECCR 265
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Document Discovery: Advancing Research with Large Knowledge Networks
University of Washington
By putting the world's scholarly literature online, publisher websites and
digital archives have made millions articles instantly available anywhere,
any time, in digital form. This is a breakthrough in document delivery;
we now await comparable breakthroughs in document discovery. As
de Solla Price noted in 1965, the scholarly literature forms
a vast network -- where the nodes are the millions of papers published in
scholarly journals and the links are the hundreds of millions of citations
connecting these papers. Can we use this vast network of trails, in combination
with intelligent algorithms, to help researchers navigate the scholarly
landscape? Can we develop research tools that not only deliver the content but
facilitate the content? New approaches to measuring, mapping and evaluating
documents are creating new forms of value that can be derived from the digital
research content already available to the research community. In this
presentation, I will talk about the Eigenfactor Project and the tools we have
developed to rank and map scientific knowledge.
Jevin West is a Post-Doctoral researcher
in the Department of Biology at the University of Washington. His research
focuses on citation networks. In this type of network, an edge represents a
citation and a node represents a journal, author or paper. These networks
contain millions of nodes and hundreds of millions citations. The primary aim
of his research is to use the structure of these well preserved networks to
better assess and to better navigate the ever expanding scholarly universe.
He is the head developer of
Eigenfactor.org --
a free website for librarians, researchers, publishers, administrators and
editors that ranks and maps scholarly journals. Jevin's most recent projects
involve collaborations to further develop these tools on article level data
using digital repositories like JSTOR, Microsoft Academic Search and the
Social Science Research Network at Harvard.
Hosted by Aaron Clauset.
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