Скачать или смотреть Complex networks: connections, measurements, and social systems with Sune Lehmann

According to Carl Sagan, the beauty of a living thing is not the atoms that go into it, but the way those atoms are put together. In our cells, atoms compose a multitude of molecules such as proteins and DNA, which coexist in a complex, mutually dependent network. Similarly, our cells themselves exist in an interdependent network of organs and nerves, and our very consciousness is thought to arise from the complex network of billions of neurons, connected by trillions of synapses. Ecosystems are complex networks of animals eating other organisms. Some form social networks of packs and flocks, and humans have refined social structures into an artform with clans, nations, political parties, subcultures and Twitter hashtags. Our computers are connected in a global network, providing access to much of our combined knowledge as a species, which can also be described as a complex network. Networks are everywhere. Since the turn of the millenium, a new understanding of these networks has begun to take form, and a new field - a science of networks - has begun to emerge. Sune Lehmann recounts the story of modern network science, explain a few of the things we have learned, and connect the tale of networks to big data, computational social science, and his own research on social networks.
Sune Lehmann is Professor of Networks and Complexity Science at DTU Compute, Technical University of Denmark. He is also a Professor of Social Data Science at the Center for Social Data Science (SODAS), University of Copenhagen. Lehmann's work focuses on quantitative understanding of social systems based on massive data sets. A physicist by training, his research draws on approaches from the physics of complex systems, machine learning, and statistical analysis. He works on large-scale behavioral data and while my primary focus is on modeling complex networks, Lehmann's research has made substantial contributions on topics such as human mobility, sleep, academic performance, complex contagion, epidemic spreading, and behavior on twitter.

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