Summary: The field of network analysis has attracted interest from scholars coming from a wide range of disciplines as it provides valuable theoretical and methodological toolkits to investigate complex systems of social relations. Furthermore, network theories and methods can examine dynamics present at multiple levels of analysis, from individual- to global-levels. As a result, network analysis has been applied to various contexts of social science research such as social interactions, organizational communication, and crisis response collaboration. In this talk, I present substantive insights into the application of several network analysis theories and applications to the (1) social, (2) organizational, and (3) crisis response settings. For the context of social interactions, I expand structural balance evaluation to signed and directed networks, and apply this approach to examine 12 social networks. For the context of organizational communication, I demonstrate the application of multilevel modeling for egocentric networks to examine factors associated with the formation of interdisciplinary ties in a scientific organization. In addition, I leverage an extended version of structural balance evaluation for signed and directed networks to examine the sources of tension present in three organizational networks. Third, I provide a case study of response dynamics during the 2010 Haiti earthquake by examining collaboration networks prescribed by national guidelines for response, and interaction networks of the actual collaborations that took place during the earthquake response. Altogether, my work contributes to the growing literature on the theories and applications of network analysis to real-world social networks. In particular, the study designs and findings developed in my research can provide a framework for network-based studies from many domains of interest, that includes components of network theories and methods that can help explain the social mechanisms involved in tie formation.

Speaker Bio: Ly Dinh is a Ph.D. candidate at the School of Information Sciences, University of Illinois at Urbana-Champaign, USA, where she teaches graduate-level course on social network analysis. Her research topics focus on how research methods, such as network analysis, social simulation models, and text analysis, can be used to advance our understanding of various social and organizational systems. Her current projects place network science at the core to understand and explain a number of social and organizational phenomena ranging from egocentric networks to interagency emergency response networks. For more information, see https://publish.illinois.edu/lydinh-uiuc/, or contact dinh4@illinois.edu.