“Use of Text Mining and Visualization to Infer Work Dynamics from Organizational Records”

Dr. Maria Esteva
Texas Advanced Computing Center

Wednesday, August 6, 2008
5:45 p.m. – Networking Reception
6:30 p.m. – Presentation

During fourteen years, from 1991 to 2005, the staff members of a private philanthropic organization stored their electronic text records in the shared directory of the office’s networked server. Among other document types, the corpus include board meeting minutes, memos, project proposals, lists, letters, and even personal documents gathered and received by each employee. Using text mining, social network analysis, and visualization methods in a portion of the corpus corresponding to ten years, it was possible to resurface relationships between staff members and the functions that they represented in a way that goes beyond what portrays the organizational chart. Aided by an animated visualization of the results, it is possible to observe changes in work-dynamics over time corresponding to changes in projects, management directions, and staff members leaving and entering the organization.

Maria Esteva has a Ph.D. in Information Science from The University of Texas at Austin. Her research focuses in digital archives and digital preservation. She also has a Masters Degree in Information Science with an advanced certificate in Preservation Administration from The University of Texas at Austin. She works at Texas Advanced Computing Center (TACC) in the areas of scientific data archiving and preservation, and information visualization.