(1) Network Science
Aref, S.*, Dinh, L.*, Rezapour, R.*, & Diesner, J. (*Equal Contribution). Multilevel structural evaluation of signed directed social networks based on balance theory. Scientific Reports 10, 15228 (2020). https://doi.org/10.1038/s41598-020-71838-6.
Dinh, L.*, Rezapour, R.*, Jiang, L., & Diesner, J. (*Equal contribution). Assessing balance in signed digraphs using balance and transitivity. (in preparation to Big Data & Society, 2021)
Dinh, L., & Parulian, N. (2020). COVID-19 Pandemic and Information Diffusion Analysis on Twitter. Proceedings of the Association for Information Science and Technology, 57(1), e252. https://doi.org/10.1002/pra2.252.
(2) Crisis Informatics
Dinh, L., Akuka, I., & Diesner, J. (2021). Interorganizational collaboration networks during 2018 Hurricane Michael response. US Department of Homeland Security Centers of Excellence (COE) Summit. Fairfax, Virginia. Held online.
Sarol, J.*, Dinh, L.*, & Diesner, J. (*Equal contribution). Variation in Situational Awareness Information of Crisis Events due to Human Choices about Data Sources, Summarization Methods, and Algorithm Implementation. Proceedings of the 14th International Conference on Web and Social Media, ICWSM 2021. Atlanta, GA.
(3) Organizational Communication
Barley, W. C., Dinh, L., Workman, H., & Fang, C. (2020). Exploring the Relationship Between Interdisciplinary Ties and Linguistic Familiarity Using Multilevel Network Analysis. Communication Research, 0093650220926001.
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
(4) Scholarly Communication
Dinh, L., Sarol, J., Cheng, Y. Y., Hsiao, T. K., Parulian, N., & Schneider, J. (2019). Systematic examination of pre- and post-retraction citations. Proceedings of the Association for Information Science and Technology, 56(1), 390-394.
Ge, Y., Dinh, L., Liu, X., Su, J., Wang, A., & Diesner, J. (2021, June). BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL).
