Philip Tee
Associate (Informatics)

Selected publications

Article

Messager, Antoine, Parisis, George, Kiss, Istvan Z, Harper, Robert, Tee, Phil and Berthouze, Luc (2019) Inferring functional connectivity from time-series of events in large scale network deployments. IEEE Transactions on Network and Service Management, 16 (3). pp. 857-870. ISSN 1932-4537

Tee, Philip, Parisis, George, Berthouze, Luc and Wakeman, Ian (2018) Relating vertex and global graph entropy in randomly generated graphs. Entropy, 20 (7). ISSN 1099-4300

Tee, Philip, Wakeman, Ian, Parisis, George, Dawes, Jonathan and Kiss, István Z (2017) Constraints and entropy in a model of network evolution. European Physical Journal B: Condensed Matter and Complex Systems, 90. p. 226. ISSN 1434-6028

Tee, Philip, Parisis, George and Wakeman, Ian (2017) Vertex entropy as a critical node measure in network monitoring. IEEE Transactions on Network and Service Management, 14 (3). pp. 646-660. ISSN 1932-4537

Conference Proceedings

Messager, Antoine, Parisis, Georgios, Kiss, István Z, Harper, Robert, Tee, Phil and Berthouze, Luc (2019) Functional topology inference from network events. IFIP/IEEE International Symposium on Integrated Network Management. Intelligent Management for the Next Wave of Cyber and Social Networks, Washington DC, USA, 8-12 April 2019. Published in: 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Institute of Electrical and Electronics Engineers ISBN 9783903176157

Messager, Antoine, Parisis, George, Harper, Robert, Tee, Philip, Kiss, István Z and Berthouze, Luc (2018) Network Events in a Large Commercial Network: What can we learn? NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, Taipei, Taiwan, 23-27 April 2018. Published in: NOMS 2018 - IEEE/IFIP AnNet. 1-6. Institute of Electrical and Electronics Engineers

Tee, Philip, Parisis, George and Wakeman, Ian (2016) Towards an approximate graph entropy measure for identifying incidents in network event data. Published in: Proceedings of the NOMS 2016 IEEE/IFIP Network Operations and Management Symposium 2016; Istanbul, Turkey; 25-29 April 2016. 1049-1054. Institute of Electrical and Electronics Engineers ISSN 2374-9709 ISBN 9871509002238

Thesis

Tee, Philip (2017) The role of graph entropy in fault localization and network evolution. Doctoral thesis (PhD), University of Sussex.