Lucia Falzon

Lucia Falzon

School of Mathematical Sciences

Faculty of Engineering, Computer and Mathematical Sciences


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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  • Journals

    Year Citation
    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.. Soc. Netw. Anal. Min., 11, 62.
    DOI
    2021 Quintane, E., Wood, M., Dunn, J., & Falzon, L. (2021). Temporal Brokering: A Measure of Brokerage as a Behavioral Process. Organizational Research Methods, 31 pages.
    DOI
    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.
    DOI
    2020 Weber, D., Nasim, M., Falzon, L., & Mitchell, L. (2020). #ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media.. CoRR, abs/2004.00742.
    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 Scopus11 WoS9
    2013 Kontoleon, N., Falzon, L., & Pattison, P. (2013). Algebraic structures for dynamic networks. Journal of Mathematical Psychology, 57(6), 310-319.
    DOI Scopus6 WoS4
    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 Scopus30 WoS22
    2000 Falzon, L. (2000). Determining groups from the clique structure in large social networks. Social Networks, 22(2), 159-172.
    DOI Scopus18 WoS16
  • Book Chapters

    Year Citation
    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 Scopus2
    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.
  • Conference Papers

    Year Citation
    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 Scopus1
    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 Scopus5 WoS1
    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
    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11053 LNAI (pp. 649-653). Springer International Publishing.
    DOI Scopus4
    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 Scopus4 WoS4
    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 Scopus5
    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
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  • Offices Held

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

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