Research done in the CNS Lab results in various types of output. We actively publish in journals or lecture notes/conference proceedings related to network science, machine learning, AI, computer science and the like, see Publications. New algorithms and tools are often created, leading to new software.

• Temporal link prediction (2023)
• d-k-Anonymity computation (2022)
• Trajectories through temporal networks (2021)
• Community membership consistency (2020)
• Incremental closeness centrality computation (2019)
• Multilayer network motif counting (2019)
• CADA for network anomaly detection (2018)
• Multiplex network motif enumeration (2017)
• Computing force-directed layouts on the GPU (2016)
• The teexGraph software package for structural network analysis at scale (2014)
• BoundingDiameters algorithm for computing the diameter of a small world network (2012)