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2020 – today
- 2022
[c8]Robert Harper, Philip Tee
:
Structural Network Metrics and Incident Generation. NOMS 2022: 1-6- 2021
- [j6]Robert Harper, Philip Tee:
Balancing capacity and epidemic spread in the global airline network. Appl. Netw. Sci. 6(1): 94 (2021)
2010 – 2019
- 2019
- [j5]Philip Tee, Allan Balmain:
Critical behavior of spatial networks as a model of paracrine signaling in tumorigenesis. Appl. Netw. Sci. 4(1): 47:1-47:21 (2019) - [j4]Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze:
Inferring Functional Connectivity From Time-Series of Events in Large Scale Network Deployments. IEEE Trans. Netw. Serv. Manag. 16(3): 857-870 (2019) - [c7]Robert Harper, Philip Tee:
A Method for Temporal Event Correlation. IM 2019: 13-18 - [c6]Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze:
Functional Topology Inference from Network Events. IM 2019: 619-623 - 2018
- [j3]Philip Tee, George Parisis, Luc Berthouze, Ian Wakeman:
Relating Vertex and Global Graph Entropy in Randomly Generated Graphs. Entropy 20(7): 481 (2018) - [c5]Philip Tee, Allan Balmain:
Phase Transitions in Spatial Networks as a Model of Cellular Symbiosis. COMPLEX NETWORKS (2) 2018: 586-597 - [c4]Robert Harper, Philip Tee:
Cookbook, a recipe for fault localization. NOMS 2018: 1-6 - [c3]Antoine Messager, George Parisis, Robert Harper, Philip Tee, Istvan Z. Kiss, Luc Berthouze:
Network events in a large commercial network: What can we learn? NOMS 2018: 1-6 - [i2]Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze:
Inferring the time-varying functional connectivity of large-scale computer networks from emitted events. CoRR abs/1802.04036 (2018) - 2017
- [b1]Philip Tee:
The role of graph entropy in fault localization and network evolution. University of Sussex, Falmer, East Sussex, UK, 2017 - [j2]Philip Tee, George Parisis, Ian Wakeman:
Vertex Entropy As a Critical Node Measure in Network Monitoring. IEEE Trans. Netw. Serv. Manag. 14(3): 646-660 (2017) - [j1]Philip Tee, George Parisis, Ian Wakeman:
Correction to "Vertex Entropy as a Critical Node Measure in Network Monitoring". IEEE Trans. Netw. Serv. Manag. 14(4): 1185 (2017) - [c2]Robert Harper, Philip Tee:
The application of Neural Networks to predicting the root cause of service failures. IM 2017: 953-958 - 2016
- [c1]Phil Tee, George Parisis, Ian Wakeman:
Towards an approximate graph entropy measure for identifying incidents in network event data. NOMS 2016: 1049-1054 - [i1]Phil Tee, Ian Wakeman, George Parisis, Jonathan Dawes:
Is Preferential Attachment the 2nd Law of Thermodynamics in Disguise? CoRR abs/1612.03115 (2016)
Coauthor Index
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