Modeling the dynamics of scientific communities

What makes a scientific community grow or shrink, or an individual paper be cited more or less? We seek to automatically identify emergent technical areas based on the full text of scientific papers, including their citations. Achieving this goal will require significant advances in our understanding both of the dynamics of emergence and of the indicators by which it can be recognized. We characterize papers and communities by the language they use and their citation link strucdture. We are also modelingn the dynamics of the birth, growth, and death of scientific micro-communities based on novel algorithms for clustering millions of scientific papers based on their citations.

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