Here are a selection of recent works by myself, and some related works.

Back to homepage.


Random Geometric Graphs and Complex Networks

Recently,

Connectivity of 1d Random Geometric Graphs
by myself, Kostas Koufos, and Nicolas Privault, Random, Structures and Algorithms (submitted), 2019.

Meta Distribution of SIR in Ultra-Dense Networks with Bipartite Euclidean Matchings
by myself, Kostas Koufos, and Sunwoo Kim, Workshop on Research Advancements in Future Networking Technologies, IEEE ICC 2022.

Shape of shortest paths in random spatial networks
by myself, Marc Barthelemy, and Carl P. Dettmann, Phys. Rev. E 100, 032315, 2019.
See also "Shortest routes in random proximity networks" on this list of open problems of David Aldous.

At the Wireless Systems Laboratory, Hanyang University, Seoul, South Korea

Counting k-Hop Paths in the Random Connection Model.
by myself and Sunwoo Kim, IEEE Transactions on Wireless Communications 17(5), 2018.
...and also Moments of k-Hop Counts in the Random Connection Model.
by Nicolas Privault, to appear, 2019.

Euclidean Matchings in Ultra-Dense Networks
by myself, Suhanya Jayaprakasam, and Sunwoo Kim, IEEE Communications Letters 22(6), 2018.

At the School of Mathematics, Bristol University, Bristol, UK

Betweenness centrality in dense random geometric networks
by myself, Orestis Georgiou, and Carl Dettmann, IEEE ICC2015, pp. 6450-6455

Connectivity of soft random geometric graphs over annuli
by myself, Orestis Georgiou, and Carl Dettmann, Journal of Statistical Physics 162(4), 2016.

Counting Geodesic Paths in 1-D VANETs
by Georgie Knight, myself, Orestis Georgiou, and Carl Dettmann, IEEE Wireless Communications Letters 6(1), 2017.

Connectivity and Centrality in Dense Random Geometric Graphs
by myself, my PhD thesis, Queen's Building Library, University of Bristol, Bristol, UK, 2017.


Complex Networks, Network Topology and Network Geometry

At the School of Mathematics, Queen Mary University of London, London, UK

Beyond the Clustering Coefficient:
A topological analysis of node neighbourhoods in complex networks

by myself and Ginestra Bianconi, Chaos, Solitons and Fractals: X (1), 2019.

Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data
by myself, Dimitri Krioukov, James P. Gleeson, Yamir Moreno and Ginestra Bianconi.

An interesting recent paper by Ginestra and coworkers on network geometry,

Emergent Hyperbolic Network Geometry
by Ginestra Bianconi and Christophe Rahmede, Scientific Reports 7, 2017.


Back to homepage.