Ly Dinh

Photo of Ly Dinhdinh4 [at] illinois.edu

Advisor: 

Areas of Research: 

Ly's current interests as well as research topic areas lie at the intersection of computational social science, network theories and applications, and organizational communication. More specifically, Ly aims to examine how research methods such as network analysis and social simulation models 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/organizational phenomena ranging from egocentric networks to interagency emergency response networks. Ly is a 2018 Network Science Fellow recipient of the Visible Network Labs. 

Field Exam Area: 

Network Science

Education: 

PhD, Library and Information Science, University of Illinois (in progress)
MS, Communication, University of Illinois
BA (honors), Communication, University of Southern California

Courses Taught: 

INFO 202: Social Aspects of Information Technology
IS 543: Sociotechnical Information Systems

Selected Publications, Papers and Presentations: 

Dinh, L, & Diesner, J., (2018). Realizing the full potential of (infra-)structures for interagency communication before, during, and after disasters using the example of APAN (All Partners Access Network). In Proceedings of the 3rd International Workshop on Social Sensing at ACM/IEEE International Conference on Internet of Things Design and Implementation 2018 (IoTDI 2018), Orlando, FL. 

Dinh, L, & Barley, W.C., (2018). A Multiple Membership Multiple Classification (MMMC) model approach for Egocentric Network Data. Paper to be presented at 2018 Annual International Conference on Computational Social Science. Evanston, Illinois. 

Pilny, A., Proulx, J. D., Dinh, L., & Bryan, A. L. (2017). An adapted structurational framework for the emergence of communication networks. Communication Studies, 68(1), 72- 94. doi: 10.1080/10510974.2016.1262886 

Dinh, L., Shavitt, S., & Jung, K. (2017, August). Before Landfall: Anticipatory sentiments in media coverage of Hurricanes from 1980 to 2012. Paper to be presented at 2017 Society for Social Studies of Science (4S) Conference. Boston, Massachusetts.

Barley, W.C., Childs, K., Workman, H.M., Dinh, L. (June, 2016) Frame Mismatch: How framing communication as transmission hinders interdisciplinary collaboration. Paper presented at the International Communication Association Annual Conference. Fukuoka, Japan. a. Winner: Top Paper Award.

Dinh, L. (2016, March). Exploring the meaning of interdisciplinary collaboration in a scientific organization: An application of text and network analysis. Paper presented at 2016 International Sunbelt Social Network Conference, Newport Beach, California.

Dinh, L. (2015, June). Visualizing the Evolution of Communication and Technology field using Co-Authorship and Paper Citation network Analysis. Poster accepted at 2015 International Sunbelt Social Network Conference, Brighton, United Kingdom.

Pilny, A., Dinh, L., Poole, M.S., Skurka, C. (2015, June). Empirically testing an Input-Process-Outcome multi team system model. Paper presented at 2015 International Sunbelt Social Network Conference, Brighton, United Kingdom.

Pilny, A., Dinh, L., Bryan, A., & Proulx, J. (2015, May). An adaptive structurational framework for network emergence. Paper presented at 2015 International Communication Association, San Juan, Puerto Rico a. Winner: Top Brief Entertaining Scholarly Talk (B.E.S.T.) | Networks panel

Honors and Awards: 

Network Science Fellow at Visible Network Labs, Colorado, Summer 2018 
University of Illinois Urbana-Champaign Elizabeth Winter Young Fellowship, Fall 2014-Spring 2016.
People’s Choice Award, Image of Research Competition, University of Illinois-Urbana Champaign, 2014
Inducted Phi Kappa Phi, University of Illinois-Urbana Champaign, 2014
Inducted Lambda Pi Eta, University of Southern California, 2011

Related Topics

Data Analytics, Organization of Knowledge and Information, Science Processes, Social and Information Networks, Social Media