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. New algorithms and tools are often created, leading to new software.
An overview of output can be found below.

Software

A selection of tools, software and potentially reusable code can be found below.

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

Publications

Below is an overview of recent publications by affiliates of the lab.

• C. E. S. Mattsson, A. Luedtke and F.W. Takes, Measuring the Velocity of Money, arXiv preprint 2207.08941, 2022.
• C. E. S. Mattsson, T. Criscione and F.W. Takes, Circulation of a Digital Community Currency, arXiv preprint 2207.08941, 2022.
• C. E. S. Mattsson, T. Criscione and W.O. Ruddick, Sarafu Community Inclusion Currency, 2020-2021. Scientific Data 9:426, Nature Publishing Group, 2022.
• G.G. Brinkmann, K.F.D. Rietveld, F.J. Verbeek and F.W. Takes, Real-time interactive visualization of large networks on a tiled display system, Displays 73, article 102164, Elsevier, 2022.
• G.J. de Bruin, A.P. Barata, H.J. van den Herik F.W. Takes and C.J. Veenman, Fair automated assessment of noncompliance in cargo ship networks, EPJ Data Science 11, article 13, Springer, 2022.
• A. Nadiri and F.W. Takes, A large-scale temporal analysis of user lifespan durability on the Reddit social media platform, in Proceedings of the 28th ACM International Web Conference (TheWebConf) Workshops, to appear, 2022.
  
• H.D. Boekhout, E.M. Heemskerk and F.W. Takes, Evolution of the World Stage of Global Science from a Scientific City Network Perspective, in Proceedings of the 10th International Conference on Complex Networks, Studies in Computational Intelligence 1015, pp. 142-154, Springer, 2021.
• H.D. Boekhout, V.A. Traag and F.W. Takes, Investigating scientific mobility in co-authorship networks using multilayer temporal motifs, Network Science 9(3): 354-386, Cambridge University Press, 2021.
• G.J. de Bruin, C.J. Veenman, H.J. van den Herik and F.W. Takes, Supervised temporal link prediction in large-scale real-world networks, Social Network Analysis and Mining 11: 80, Springer, 2021.
• D.E. van Kuppevelt, R. Bakshi, E.M. Heemskerk, F.W. Takes, Community membership consistency applied to corporate board interlock networks, Journal of Computational Social Science 5, 841-860, Springer, 2021.
• C.E.S. Mattsson and F.W. Takes, Trajectories through Temporal Networks, Applied Network Science 6, article 35, Springer, 2021.
• C.E.S. Mattsson, F.W. Takes, E.M. Heemskerk, C.G.H. Diks, G. Buiten, A. Faber and P.M.A. Sloot, Functional structure in production networks, Frontiers in Big Data 4, article 23, 2021.
• G.J. de Bruin, C.J. Veenman, H.J. van den Herik and F.W. Takes, Experimental Evaluation of Train and Test Split Strategies in Link Prediction, in Proceedings of the 9th International Conference on Complex Networks, Studies in Computational Intelligence 882: to appear, Springer, 2020.
• R. Suryadikara , F.W. Takes and S. Verberne, False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election, in Proceedings of ACM International Conference on Information and Knowledge Management (CIKM) Workshops, CEUR volume 2699, paper 37, 2020.
• M. Barbouch, F.W. Takes and S. Verberne, Combining Language Models and Network Features for Relevance-based Tweet Classification, in Proceedings of the 12th International Conference on Social Informatics (SocInfo), to appear in Lecture Notes in Computer Science, Springer, 2020.
• C. Grimme, M. Preuss, F.W. Takes and A. Waldherr, Disinformation in Open Online Media (edited volume / conference proceedings), Lecture Notes in Computer Science 12021, Springer, 2020.
• H.D. Boekhout, W.A. Kosters and F.W. Takes, Efficiently Counting Complex Multilayer Temporal Motifs in Large-Scale Networks, Computational Social Networks 6: 8, Springer, 2019.
• G.J. de Bruin, C.J. Veenman, H.J. van den Herik and F.W. Takes, Understanding dynamics of truck co-driving networks, in Proceedings of the 8th International Conference on Complex Networks, to appear in Studies in Computational Intelligence 882, pp. 140-151, Springer, 2019.
• K. Putman, H.D. Boekhout and F.W. Takes, Fast Incremental Computation of Harmonic Closeness Centrality in Directed Weighted Networks, to appear in Proceedings of the 11th IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), to appear, ACM, 2019.
• H.D. Boekhout, W.A. Kosters and F.W. Takes, Counting Multilayer Temporal Motifs in Complex Networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 565-577, Springer, 2018.
• L. Bogaardt and F. W. Takes, Estimating Subgraph Generation Models to Understand Large Network Formation, in Proceedings of the 14th IEEE International Conference on e-Science, pp. 375-376, IEEE, 2018.
• F. Bortolussi, Z. Hoogeboom and F.W. Takes, Computing Minimum Weight Cycles to Leverage Mispricings in Cryptocurrency Market Networks, arXiv 1807.05715, 2018.
• G.J. de Bruin, C.J. Veenman, H.J. van den Herik and F.W. Takes, Understanding behavorial patterns in truck co-driving networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 813: 223-235, Springer, 2018.
• J.E. van Engelen, J.J. van Lier, F.W. Takes and H. Trautmann, Accurate WiFi based indoor positioning with continuous location sampling, in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Lecture Notes in Artifical Intelligence 11053: 1-17, Springer, 2018.
• A.P. Fonhof, M. van der Bruggen and F.W. Takes, Characterizing key players in child exploitation networks on the dark net, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 813: 412-423, Springer, 2018.
• T.J. Helling, J. Scholtes and F.W. Takes, A community-aware approach for identifying node anomalies in complex networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 244-255, Springer, 2018.
• D. E. van Kuppevelt, F. W. Takes, E.M. Heemskerk, Understanding evolving communities in transnational board interlock networks, in Proceedings of the 14th IEEE International Conference on e-Science, pp. 312-313, IEEE, 2018.
• X. Rademaker, M.R.V. Chaudron and F.W. Takes, Automatic identification of component roles in software design networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 813: 145-157, Springer, 2018.
• F.W. Takes, W.A. Kosters, B. Witte and E.M. Heemskerk, Multiplex Network Motifs as Building Blocks of Corporate Networks, Applied Network Science 3: 39, Springer, 2018.
• F.W. Takes, W.A. Kosters and B. Witte, Detecting motifs in Multiplex Corporate Networks, in Proceedings of the 6th International Conference on Complex Networks, Studies in Computational Intelligence 642: 502-515, Springer, 2017.
• G.G. Brinkmann, K.F.D. Rietveld and F.W. Takes, Exploiting GPUs for fast force-directed visualization of large-scale networks, in Proceedings of the 46th International Conference on Parallel Processing (ICPP), pp. 382-391, IEEE, 2017.
• F.W. Takes and  E.M. Heemskerk, Centrality in the Global Network of Corporate Control, Social Network Analysis and Mining 6(1): article 97, Springer, 2016.
• J.E. van Engelen, H.D. Boekhout and F.W. Takes, Explainable and Efficient Link Prediction in Real-World Network Data, in Proceedings of the 15th International Symposium on Intelligent Data Analysis (IDA 2016), Lecture Notes in Computer Science 9897: 295-307, Springer, 2016.