"Network science, big data analytics, and deep learning: An interdisciplinary approach to the study of citation, social and collaboration networks"
My research is broadly concerned with science of science and combines theories and methods from network science, sociology, machine learning and data science. The general goal of my work is to better understand the structure, functioning and consequences of complex large-scale networks across a number of empirical domains including citation networks, social networks and collaboration networks. My research has been published in peer-reviewed journals (e.g., Scientometrics) and peer-reviewed conference proceedings (e.g., International School and Conference on Network Science (NetSci) and International Conference on Computational Social Science (IC2S2)).
1st Supervisor: Dr. Pietro Panzarasa2nd Supervisor: Professor Pedro Martins
I am a PhD student of computational social science at the School of Business and Management (SBM) at Queen Mary University of London (QMUL). At SBM, I am a member of Centre for Globalisation Research (CGR). Prior to joining QMUL, I received my MSc in computer science from Beihang University (China) in 2017, my ‘diplˆome d’ing´enieur’ from ´Ecole Centrale de Nantes (France) in 2017, and my BSc in information and computing science from Beihang University (China) in 2014. My personal academicwebsite is http://yifanqian.com/.
Peer-reviewed conference proceedings