we propose a method that focuses on the generation of REALISTIC NAVIGATIONAL PATHS, i.e., web logs. Our approach is extremely relevant because it can at the same time tackle the problem of lack of publicly available data about web navigation logs, and also be adopted in industry for AUTOMATIC GENERATION OF REALISTIC TEST SETTINGS of Web sites yet to be deployed.
Coronavirus COVID-19 is an extreme challenge for our society, economy, and individual life. However, governments should have learnt from each other. The impact has been spreading slowly across countries. There has been plenty of time to take action. But apparently people and government can’t grasp the risk until it’s onto them. And the way European … Continue reading Coronavirus stories and data
Starting October 2019, we open a new opportunity for companies: a 2-day hands-on course on Data-driven innovation for executive and managers. The course is specially developed for executives, managers, and decision-makers that need to handle the foundations of data analysis for taking informed decisions on data-driven business, innovation path and strategies within the enterprise. It … Continue reading Data Science for Business Innovation. Live courses for executives and managers in Italy and The Netherlands
we analyze open source projects to determine whether they exhibit a rich-club behavior, that is a phenomenon where contributors with a high number of collaborations are likely to cooperate with other well-connected individuals. The presence or absence of a rich-club has an impact on the sustainability and robustness of the project. We build and study a dataset with the 100 most popular projects in GitHub.