PLoS ONE: An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006

Annual meeting abstracts published by scientific societies often contain rich arrays of information that can be computationally mined and distilled to elucidate the state and dynamics of the subject field. We extracted and processed abstract data from the Society for Neuroscience (SFN) annual meeting abstracts during the period 2001–2006 in order to gain an objective view of contemporary neuroscience

All other graph analyses (connected component, betweenness centrality, and clustering coefficient) were performed in MATLAB 7.3.0 (R2006b) using the MATLAB Boost Graph Library (MatlabBGL) written by David Gleich (http://www.stanford.edu/~dgleich/programs/matlab_bgl/).

via PLoS ONE: An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006.

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