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We live in a networked world. People are getting more and more interconnected through the new information and communication technologies, like mobile phones and the Internet. The function of cells can be understood via networks of interacting proteins. Ecosystems can be described through networks of taxonomic relationships between species. The network representation has proved to be a powerful tool to understand the structure and the dynamics of complex systems. Since the pioneering discovery of the scale-free property of the World Wide Web by Albert, Jeong and Barabási, the study of complex networks has become the leading discipline in complexity science. This volume is intended to bring to the attention of the scientific community recent advances in complex networks. It covers significant aspects of networks' structure and dynamics, both from the analytical and the empirical point of view. The works of this collection are contributed by a truly interdisciplinary community of scientists, from physicists to mathematicians, from computer scientists to engineers and economists.

Computer Science --- Civil Engineering --- Applied Mathematics --- Telecommunications --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Neural networks (Computer science) --- System analysis --- Computer science. --- Computer communication systems. --- Algorithms. --- Artificial intelligence. --- Statistical physics. --- Dynamical systems. --- Applied mathematics. --- Engineering mathematics. --- Vibration. --- Dynamics. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Computer Communication Networks. --- Artificial Intelligence (incl. Robotics). --- Appl.Mathematics/Computational Methods of Engineering. --- Statistical Physics, Dynamical Systems and Complexity. --- Vibration, Dynamical Systems, Control. --- Computer software. --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Complex Systems. --- Cycles --- Mechanics --- Sound --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Software, Computer --- Computer systems --- Mathematics --- Algorism --- Algebra --- Arithmetic --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mathematical statistics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Foundations --- Statistical methods --- Distributed processing

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Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Computer networks. --- Information networks.

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We live in a networked world. People are getting more and more interconnected through the new information and communication technologies, like mobile phones and the Internet. The function of cells can be understood via networks of interacting proteins. Ecosystems can be described through networks of taxonomic relationships between species. The network representation has proved to be a powerful tool to understand the structure and the dynamics of complex systems. Since the pioneering discovery of the scale-free property of the World Wide Web by Albert, Jeong and Barabási, the study of complex networks has become the leading discipline in complexity science. This volume is intended to bring to the attention of the scientific community recent advances in complex networks. It covers significant aspects of networks' structure and dynamics, both from the analytical and the empirical point of view. The works of this collection are contributed by a truly interdisciplinary community of scientists, from physicists to mathematicians, from computer scientists to engineers and economists.

Ergodic theory. Information theory --- Classical mechanics. Field theory --- Engineering sciences. Technology --- Mass communications --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- analyse (wiskunde) --- informatica --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots --- communicatietechnologie --- dynamica --- informatietheorie