I am interested in structure and dynamics of complex networks. My research focuses on developing methods and algorithms for network abstraction, modeling, sampling and comparison, node clustering and partitioning, and node position and link analysis.
I am always open for research collaboration in any field of network science or general data science.
My other fields of interest include selected areas of data analysis, data mining, stream mining and statistics.
For complete list of publications see my CV.
I teach MSc and PhD courses on network science, and BSc course on Python and Java programming. I am also a teaching assistant for BSc courses on networks, databases and information systems.
My lectures are available on YouTube.
Many networks I have compiled are available through KONECT, ICON and Network Repository. For code see repositories netpy-workshop, node-intermediacy, graph-convexity, convex-skeleton and nets-nodegroups.
Feel free to contact me, especially if you are interested in network science.