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Complex Networks: Introduction and mathematical description (I & II). Stefano Boccaletti
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Date: 18.11.2019
Second part timecode: 1:38:45
In this first lecture, I will introduce the formalism of complex networks, and describe some fundamental quantity related to network's structure, as the degree distribution, the clustering coefficient, the degree-degree correlations.
I will also introduce the main terminology used for the description of networks.
In the second lecture, I will describe several quantities which are generally used to characterize the structure of a network, as node centrality, node betweenness, network efficiency, and network's vulnerability.
Stefano Boccaletti is a senior researcher in the Institute of Complex Systems in Florence. He is a specialist in statistical and nonlinear physics, nonlinear optics and complex systems sciences with applications to biology, medicine, social sciences and other areas. He contributed several influential papers studying the synchronization effect in complex networks, including the now standard way of their classification. His monograph "Complex Networks: Structure and Dynamics" is among the highest ever cited publications in the field of complex networks and applications.
Second part timecode: 1:38:45
In this first lecture, I will introduce the formalism of complex networks, and describe some fundamental quantity related to network's structure, as the degree distribution, the clustering coefficient, the degree-degree correlations.
I will also introduce the main terminology used for the description of networks.
In the second lecture, I will describe several quantities which are generally used to characterize the structure of a network, as node centrality, node betweenness, network efficiency, and network's vulnerability.
Stefano Boccaletti is a senior researcher in the Institute of Complex Systems in Florence. He is a specialist in statistical and nonlinear physics, nonlinear optics and complex systems sciences with applications to biology, medicine, social sciences and other areas. He contributed several influential papers studying the synchronization effect in complex networks, including the now standard way of their classification. His monograph "Complex Networks: Structure and Dynamics" is among the highest ever cited publications in the field of complex networks and applications.
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