In this thesis proposal, I propose to explore physical network systems by developing network theories that aim at describing and explaining properties of physical networks, as well as analyzing specific real-world physical network systems. The first project is on the tangledness of physical networks embedded in 3D space. In the second project we explore a specific physical system, the Drosophila larval brain system, and design the network extraction method that best preserves the level detailed information and the relations between the components in the system. The third project focuses on the link trajectories in physical networks, and aims at finding a method to describe and explain the different trajectories of links in physical systems.
Albert-Laszlo Barabasi -- Center for Complex Network Research, Northeastern University; Center for Cancer Systems Biology, Dana Farber Cancer Institute;Department of Medicine, Brigham and Women's Hospital, Harvard Medical School;Center for Network Science, Central European University, Budapest, Hungary.
Alessandro Vespignani -- Network Science Institute, Department of Physics, College of Computer. and Information Sciences, Bouve' College of Health Sciences, Northeastern University.
Samuel Scarpino -- Network Science Institute, Northeastern University.
Emma Towlson -- Department of Computer Science, University of Calgary.
Join Zoom Meeting https://northeastern.zoom.us/j/95807219678?pwd=OHpHM3VEMmFLTGRIM1U2MFc4LzN4QT09
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Yanchen is a third year PhD student working with Professor Albert-László Barabási at CCNR. She received her Bachelor degree of Physics from Peking University in 2016. She is broadly interested in network science, complex systems and physics. Prior to joining the Network Science Institute, she worked on community detection on networks with belief propagation and spectral clustering with Prof. Pan Zhang at Chinese Academy of Sciences. She is currently working on a project related to the topology and isotopy of network layouts in three-dimensional space, including identifying whether two different layouts of one network are isotopic or measuring or how “non-isotopic” they are.