We are always looking for highly-motivated students and postdocs who want to work with us! Click here!
Welcome to the group M3Nets (Multi-Modal Mobility Networks) at Beihang University!
Our focus is on developing scalable algorithms and analysis techniques for large transportation networks, with a particular focus on air transportation. Using novel data science methods, we are trying to bridge the gap between theoretical analysis (what should individual passengers be doing) and practice (what are passengers actually doing?).
- February 16th, 2019: Xiaoqian received funding for a Sino-German (NSFC/DFG) project on ADS-B data mangement and data mining. This work will be performed together with the group of Prof. Hartmut Fricke at TU Dresden.
- December 23rd, 2018: We have published a study with Massimiliano Zanin in Chaos Solitons and Fractals, discussing how generate realistic null models for large connected networks. Please check it out.
- November 30th, 2018: The journal Complexity has accepted our study with Massimiliano Zanin, discussing how to (not) perform comparison of networks with different topological properties. Please check it out.
- October 1st, 2018: Computers and Operations Research has accepted Weibin's study on iterative network design for hub location problems using Hubbi. Congratulations!
- September 21st, 2018: Transportation Research Part E has accepted our study on competitiveness of air taxis over Europe. Could air taxis challenge existing transportation modes successfully? Please check it out.
- September 1st, 2018: Scientific Reports has accepted our comparative study on network dismantling methods. Please check it out.