APrf Lucia Falzon

School of Mathematical Sciences

College of Science


Lucia Falzon has significant and acknowledged expertise in the area of social network analysis. She has over 20 years of experience as a leader and mentor in mathematical modelling of social phenomena and dynamic social network analysis. Over her career at DSTG she has fostered extensive collaborations through her honorary position at the University of Melbourne, a visiting fellowship at the University of Adelaide, through a strong collaborative network developed through the DSTG Strategic Response Initiative program (Modelling Complex Human Systems) and through her role on the senior researchers committee of the Australian Network of Social Network Analysts (ANSNA). She has a deep understanding of defence requirements, particularly in the areas of information operations and Grey Zone conflict and well -established links to defence science researchers in the US and the UK. As a DSTG alumni she is frequently approached for advice to shape research proposals that are related to her area of expertise in defence science.

Date Position Institution name
2021 - 2024 Adjunct Associate Professor University of Adelaide
2020 - 2021 Senior Fellow Defence Science and Technology Group
2007 - ongoing Honorary Fellow University of Melbourne
1990 - 2019 Senior Research Scientist Defence Science and Technology Group

Language Competency
French Can read, write and understand spoken
Italian Can read, write, speak and understand spoken
Maltese Can read, write, speak and understand spoken

Date Institution name Country Title
1992 - 1998 University of Adelaide Australia PhD

Year Citation
2022 Quintane, E., Wood, M., Dunn, J., & Falzon, L. (2022). Temporal Brokering: A Measure of Brokerage as a Behavioral Process. Organizational Research Methods, 25(3), 459-489.
DOI Scopus5 WoS4
2022 Weber, D., Falzon, L., Mitchell, L., & Nasim, M. (2022). Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation. Social Network Analysis and Mining, 12(1), 64-1-64-26.
DOI Scopus7 WoS5 Europe PMC1
2022 Nasim, M., Weber, D., South, T., Tuke, J., Bean, N., Falzon, L., & Mitchell, L. (2022). Are we always in strife? A longitudinal study of the echo chamber effect
in the Australian Twittersphere.
2022 Mu, W., Lim, K. H., Liu, J., Karunasekera, S., Falzon, L., & Harwood, A. (2022). A clustering-based topic model using word networks and word embeddings. Journal of Big Data, 9(1).
DOI Scopus18
2021 Weber, D., & Falzon, L. (2021). Temporal Nuances of Coordination Networks.. CoRR, abs/2107.02588.
2021 Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2021). Exploring the effect of streamed social media data variations on social network analysis. Social Network Analysis and Mining, 11(1), 62-1-62-38.
DOI Scopus9 WoS7 Europe PMC4
2018 Falzon, L., Quintane, E., Dunn, J., & Robins, G. (2018). Embedding time in positions: Temporal measures of centrality for social network analysis. Social Networks, 54, 168-178.
DOI Scopus30 WoS23
2013 Kontoleon, N., Falzon, L., & Pattison, P. (2013). Algebraic structures for dynamic networks. Journal of Mathematical Psychology, 57(6), 310-319.
DOI Scopus10 WoS5
2012 Xiao, Y., & Falzon, L. (2012). The Measures of Rank or Status: A Reformulation and Reinterpretation. Journal of Mathematical Sociology, 36(4), 191-244.
DOI
2006 Falzon, L. (2006). Using Bayesian network analysis to support centre of gravity analysis in military planning. European Journal of Operational Research, 170(2), 629-643.
DOI Scopus41 WoS30
2000 Falzon, L. (2000). Determining groups from the clique structure in large social networks. Social Networks, 22(2), 159-172.
DOI Scopus22 WoS18

Year Citation
2023 Falzon, L. (2023). Time and Sequence in Networks of Social Interactions. In Mathematics in Mind (pp. 229-253). Springer International Publishing.
DOI
2015 Pattison, P., Falzon, L., & Kontoleon, N. (2015). Social Networks, Algebra of. In International Encyclopedia of the Social Behavioral Sciences Second Edition (pp. 478-484). Elsevier.
DOI Scopus3
2003 Pearce, C., & Falzon, L. (2003). Arborescences, matrix-trees and the accumulated sojourn time in a Markov process. In Y. Cho, J. Kim, & Y. Choi (Eds.), Stochastic analysis and applications Volume 3 (pp. 147-168). 400 Oser Ave, Suite 1600, Hauppauge, NY 11788-3619: Nova Science Publishers.

Year Citation
2022 Nasim, M., Sharif, N., Bhandari, P., Weber, D., Wood, M., Falzon, L., & Kashima, Y. (2022). Investigating Language Use by Polarised Groups on Twitter: A Case Study of the Bushfires. In ACM International Conference Proceeding Series (pp. 1-7). ACM.
DOI Scopus3
2020 Weber, D., Nasim, M., Falzon, L., & Mitchell, L. (2020). #ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media. In Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), as published in Lecture Notes in Computer Science Vol. 12259 (pp. 159-173). Switzerland: Springer.
DOI Scopus22
2020 Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2020). A method to evaluate the reliability of social media data for social network analysis. In M. Atzmüller, M. Coscia, & R. Missaoui (Eds.), Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020) (pp. 317-321). online: IEEE.
DOI Scopus10 WoS7
2020 Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2020). A method to evaluate the reliability of social media data for social network analysis.. In CoRR Vol. abs/2010.08717.
2019 Harwood, A., Karunasekera, S., Vanni, M., Falzon, L., Padia, P., & Silva, A. (2019). Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. In C. Baru, J. Huan, L. Khan, X. H. Hu, R. Ak, Y. Tian, . . . Y. F. Ye (Eds.), Proceedings 2019 IEEE International Conference on Big Data Big Data 2019 (pp. 2274-2283). Los Angeles, CA: IEEE.
DOI Scopus1
2019 Lim, K. H., Jayasekara, S., Karunasekera, S., Harwood, A., Falzon, L., Dunn, J., & Burgess, G. (2019). Rapid: Real-time analytics platform for interactive data mining. In U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, . . . N. Hurley (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11053 LNAI (pp. 649-653). IRELAND, Dublin: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus8 WoS7
2017 Lim, K. H., Karunasekera, S., Harwood, A., & Falzon, L. (2017). Spatial-based topic modelling using wikidata knowledge base. In J. Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, . . . M. Toyoda (Eds.), Proceedings 2017 IEEE International Conference on Big Data Big Data 2017 Vol. 2018-January (pp. 4786-4788). Boston, MA: IEEE.
DOI Scopus5 WoS5
2017 Falzon, L., McCurrie, C., & Dunn, J. (2017). Representation and analysis of twitter activity: A dynamic network perspective. In Proceedings of the 2017 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining Asonam 2017 (pp. 1183-1190). ACM.
DOI Scopus7
2017 Vanni, M., Kase, S. E., Karunasekara, S., Falzon, L., & Harwood, A. (2017). RAPID: Real-time analytics platform for interactive data-mining in a decision support scenario. In T. P. Hanratty, & J. Llinas (Eds.), Proceedings of SPIE the International Society for Optical Engineering Vol. 10207 (pp. 12 pages). Anaheim, CA: SPIE-INT SOC OPTICAL ENGINEERING.
DOI Scopus1

Date Role Research Topic Program Degree Type Student Load Student Name
2017 - 2022 External Supervisor Towards Exposing Coordinating Inauthentic Groups on Social Media Doctor of Philosophy Doctorate Part Time Mr Derek Christopher Weber

Date Office Name Institution Country
2007 - ongoing Honorary Fellow University of Melbourne Australia

Connect With Me

External Profiles

Other Links