NETWORK SCIENCE PRINCIPLES
June 22-24, 2020
The course is an introduction to network science. Beginning with the fundamental concepts of networks, we will observe the different types of networks in nature, their characteristics, and recurring patterns. We will then cover different network models, from static to evolutionary, and analyze both model and real networks. At the final stage of the course, we will discuss how to leverage two decades of mapping network topology toward understanding and predicting the network’s actual dynamic behavior.
The course is meant to be an introduction into network science and dynamics and may, at times, include mathematical derivations, which will be presented in an accessible manner. Hence, no prior network knowledge is required for this course, however, a basic level of mathematical proficiency is expected.
The course will include analytical and computational exercises. Students should have a personal computer (laptop) with appropriate software installed:
•Matlab/Python or a similar software for analyzing networks.
•Gephi/Cytoscape or a similar software for visualizing networks.
Students are strongly advised to install and acquaint themselves with these programs in advance of the course.
About the instructors
Baruch Barzel is an Israeli physicist and applied mathematician at Bar-Ilan University. His main research areas are statistical physics, complex systems, nonlinear dynamics, and network science. Barzel completed his Ph.D. in physics at the Hebrew University of Jerusalem as a Hoffman Fellow. He then pursued his postdoctoral training at the Center for Complex Network Research at Northeastern University and at the Channing Division of Network Medicine at Harvard Medical School.
Barzel is a recipient of the Racah prize (2007) and the Krill prize of the Wolf Foundation (2019). Barzel is also an active public lecturer, and presents a weekly corner on Israel National Radio.
Dr. Barzel's research focuses on the dynamic behavior of complex networks, uncovering universal principles that govern the dynamics of diverse systems, such as disease spreading, gene regulatory networks, protein interactions, or population dynamics.
Albert-László Barabási is a network scientist, fascinated with a wide range of topics, from unveiling the structure of the brain to treating diseases using network medicine and from the emergence of success in art to how science really works. His work has helped unveil the hidden order behind various complex systems using the quantitative tools of network science, a research field that he pioneered, and led to the discovery of scale-free networks, helping explain the emergence of many natural, technological, and social networks.
Albert-László Barabási spends most of his time in Boston, where he is the Robert Gray Dodge Professor of Network Science at Northeastern University, and holds an appointment in the Department of Medicine at Harvard Medical School. But he splits his time with Budapest, where he runs a European Research Council project at Central European University. A Hungarian born native of Transylvania, Romania, he received his Master’s in Theoretical Physics at the Eötvös University in Budapest, Hungary, and his Ph.D. three years later at Boston University.
Barabási’s latest book is The Formula (Little Brown, 2018). He is the author of “Network Science” (Cambridge, 2016), "Linked" (Penguin, 2002), and "Bursts" (Dutton, 2010). He co-edited Network Medicine (Harvard, 2017) and "The Structure and Dynamics of Networks" (Princeton, 2005). His books have been translated into over twenty languages.