Lucia Falzon
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
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.
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Appointments
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 Competencies
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 -
Education
Date Institution name Country Title 1992 - 1998 University of Adelaide Australia PhD -
Research Interests
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Journals
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.
Scopus5 WoS32022 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.
Scopus3 WoS2 Europe PMC12022 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).
Scopus92021 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.
Scopus6 WoS4 Europe PMC32018 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.
Scopus24 WoS162013 Kontoleon, N., Falzon, L., & Pattison, P. (2013). Algebraic structures for dynamic networks. Journal of Mathematical Psychology, 57(6), 310-319.
Scopus10 WoS52012 Xiao, Y., & Falzon, L. (2012). The Measures of Rank or Status: A Reformulation and Reinterpretation. Journal of Mathematical Sociology, 36(4), 191-244.
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.
Scopus37 WoS262000 Falzon, L. (2000). Determining groups from the clique structure in large social networks. Social Networks, 22(2), 159-172.
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Book Chapters
Year Citation 2023 Falzon, L. (2023). Time and Sequence in Networks of Social Interactions. In Mathematics for Social Sciences and Arts (pp. 229-253). Springer International Publishing.
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.
Scopus22003 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. -
Conference Papers
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. ACM.
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.
Scopus172020 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.
Scopus8 WoS52020 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.
Scopus12019 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). Dublin, IRELAND: SPRINGER INTERNATIONAL PUBLISHING AG.
Scopus8 WoS62017 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.
Scopus4 WoS42017 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.
Scopus72017 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.
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Past Higher Degree by Research Supervision (University of Adelaide)
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
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Offices Held
Date Office Name Institution Country 2007 - ongoing Honorary Fellow University of Melbourne Australia
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