Monthly Archives: March 2021

New Paper on Sampling Social Media + Call for Abstract @ Networks21 Satellite

NERDS member Michele Coscia is having a busy March!

He published a new paper in the TKDD journal titled “Noise Corrected Sampling of Online Social Networks“. The paper focuses on a new way to perform topological network sampling, i.e. to explore a network by following its edges such that the explored (sub)network is as similar as possible to the whole structure. In this paper, the method uses a Bayesian framework to estimate the amount of novel information a new connection brings about into the currently explored sample.

He is also organizing a satellite for the Networks21 conference. The satellite is titled “Complex Networks in Economics and Innovation”. The organizers are looking for contributed abstracts on network applications on research about economic development and innovation. Read more on the official website, or submit your abstract to the submission site.

Bojan Kostic has joined NERDS

We are thrilled to welcome Bojan Kostic to our research group!

Bojan joins us as Postdoc. He previously worked at the Technical University of Denmark (DTU), in the Machine Learning for Smart Mobility group (MLSM), on the application of Data Science and Machine Learning in transport and mobility.

At NERDS he will be applying his skills in traffic data analytics and video processing using machine learning and computer vision, to deepen our understanding of interlinked human behavior in urban traffic.