Network Science

Random graphs, centrality measures, community detection, epidemics on networks.
TUTORIALS

Network Science

Random graphs, centrality measures, community detection, epidemics on networks.

Centrality measures for game-theoretic network analysis

network-science
centrality
graph-theory

Compute degree, betweenness, and eigenvector centrality for strategic networks using igraph in R, and visualise how different centrality measures reveal distinct power structures in game-theoretic settings.

May 8, 2026

Community Detection as Coalition Formation

network-science
community-detection
coalition-formation

Discovering network communities through the lens of cooperative game theory — modelling dense subgroups as coalitions, implementing modularity-based detection, and analysing Nash stability of the resulting partitions.

May 8, 2026

Diffusion and cascades on networks

network-science
cascades
diffusion
coordination-games

Simulate information cascades using the linear threshold and independent cascade models on random networks, demonstrating tipping points and the effect of network structure on cascade size.

May 8, 2026

Power-law networks and strategic behaviour

network-science
scale-free-networks
coordination-games
network-interventions

Analyse how scale-free degree distributions in Barabasi-Albert networks affect coordination game outcomes, hub influence on equilibrium selection, and targeted vs random intervention strategies using R simulations.

May 8, 2026

Strategic network interdiction: max-flow, min-cut, and Stackelberg games

network-science
network-interdiction
zero-sum-games

Model network interdiction as a two-player zero-sum game where an attacker removes edges to minimise maximum flow while a defender protects critical links. Explore the resilience-efficiency trade-off.

May 8, 2026
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