- diffusion processes in social networks (e.g. social influence),
- temporal networks,
- machine learning for analysing above mentioned phenomena.
My PhD supervisor was Professor Przemysław Kazienko.
2017-06-12 In 2018 we are starting new track for master students at our faculty: data science. If you want to become a data scientist, this will be a good starting point. We will provide more details soon, expect new webpage about this track.
2017-04-25 The analysis of the impact of sequential (delayed) seeding on the spread of influence in social networks has been accepted for publication in Scientific Reports. The article co-authored with Jarosław Jankowski et al. entitled
"Balancing Speed and Coverage by Sequential Seeding in Complex Networks" is available
here.
2017-02-22 We shared a
dataset that shows how virtual world campaigns spread. It has nearly a milion of nodes and over 51 millions of timestamped edges and contains the record of five campaigns. You can find more details in this
arXiv preprint and
here.
2017-01-31 Are you a researcher studying social influence? Consider submitting your work for the
Workshop on Social Influence (SI 2017) I am co-organizing. This year's edition will be held again in conjunction with ASONAM conference - this time in Sydney, Australia. Deadline for submitting papers is May 10th, 2017 and the workshop day is July 31st.
I am an assistant professor at 