Inferring intra-organizational collaboration from cosine similarity distributions in text documents

  • Authors:
  • Maria Esteva;Hai Bi

  • Affiliations:
  • University of Texas at Austin, Austin, TX, USA;Welldynamics.Inc, Houston, TX, USA

  • Venue:
  • Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2009

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Abstract

We present a method that uses text mining methods and statistical distributions to infer degrees of collaboration between staff members in an organization, based on the similarity of the documents that that they wrote and exchanged over time.