6 papers
Comparing Probabilistic Influence-Spreading Centralities to Commonly-Used Centrality Measures in Directed and Weighted Networks
Juuso Luhtala, Vesa Kuikka, Kimmo K. Kaski
The Influence-Spreading Model (ISM) introduces three probabilistic centrality measures: out-centrality, in-centrality, and ISM betweenness centrality. Out-centrality measures the a…
Integrating Network and Attack Graphs for Service-Centric Impact Analysis
Joni Herttuainen, Vesa Kuikka, Kimmo K. Kaski
Cyberattacks on enterprise networks exploit complex dependencies among infrastructure, services, and applications, which challenge traditional analysis methods that focus on attack…
Importance of Overlapping Network Nodes in Influence Spreading
Kosti Koistinen, Vesa Kuikka, Kimmo Kaski
In complex networks there are overlapping substructures or "circles" that consist of nodes belonging to multiple cohesive subgroups. Yet the role of these overlapping nodes in infl…
Network Centrality Metrics Based on Unrestricted Paths, Walks and Cycles Compared to Standard Centrality Metrics
Juuso Luhtala, Vesa Kuikka, Kimmo K. Kaski
Traditional measures of closeness and betweenness centrality in networks rely on the shortest paths between nodes. Many standard metrics fail to accurately reflect the physical or…
Shared Nodes of Overlapping Communities in Complex Networks
Vesa Kuikka, Kosti Koistinen, Kimmo K Kaski
Overlapping communities are key characteristics of the structure and function analysis of complex networks. Shared or overlapping nodes within overlapping communities can form eith…
Network Modelling in Analysing Cyber-related Graphs
Vesa Kuikka, Lauri Pykälä, Tuomas Takko +1
In order to improve the resilience of computer infrastructure against cyber attacks and finding ways to mitigate their impact we need to understand their structure and dynamics. He…