Monica Bian

Monica Bian

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


My PhD focused on heterogeneous network mining and analysis, where novel algorithms for community discovery, ranking, dynamic embedding and change modeling in different heterogeneous networks were developed. The key areas of my current research interests include: network embedding for dynamic heterogeneous networks, social network analysis, applying network analysis techniques in different cybersecurity domains.

    Expand
  • Journals

    Year Citation
    2019 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Identifying Top-k Nodes in Social Networks. ACM Computing Surveys, 52(1), 1-33.
    DOI Scopus12
  • Conference Papers

    Year Citation
    2019 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1-4). online: ACM.
    DOI Scopus9
    2018 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2018). OHC: Uncovering overlapping heterogeneous communities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 193-205). Springer International Publishing.
    DOI

Connect With Me