- 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.
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
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.
2016-11-22 The SciCup platform for data-driven challenges
created by our group has just started. If you are interested in solving real world problems in data analytics, please visit https://scicup.com
and look for open challenges. If you (as a company or organization) want to organize a challenge, please contact me.