Comput Math Organ Theory (2012) 18:328–339 DOI 10.1007/s10588-012-9126-x SI: DATA TO MODEL Extracting socio-cultural networks of the Sudan from open-source, large-scale text data Jana Diesner · Kathleen M. Carley · Laurent Tambayong Published online: 13 July 2012 © Springer Science+Business Media, LLC 2012 Keywords Social networks · Automated text analysis · Sudan · Dynamic network analysis 1 Introduction and background This paper was originally presented at the annual conference of the Sudan Stud- ies Association (SSA) at Purdue University in 2010, and has been adapted for this publication. At the SSA meeting, we had the opportunity to present our work on a computer-supported methodology for extracting and analyzing over-time network data based on open source text data about the Sudan, and to receive feedback from subject matter experts on the Sudan. Our presentation was part of a panel on “Data analyses of Sudan’s reality”. In this panel, the collaborators from a multi-university research initiative that focuses on rapid ethnographic retrieval reported on their work. The field of Network Analysis provides theories and methods for represent- ing and examining the structure, functioning and dynamics of interactions be- tween social agents, infrastructures and information (Wasserman and Faust 1994; J. Diesner UIUC, Urbana Champaign, IL, USA e-mail: jdiesner@illinois.edu K.M. Carley ( ) ISR, SCS, Carnegie Mellon University, Wean 5130, Pittsburgh, PA 15213, USA e-mail: kathleen.carley@cs.cmu.edu L. Tambayong California State University at Fullerton, Fullerton, CA, USA e-mail: ltambayong@gmail.com