Network science | Wikipedia audio article
Channel: wikipedia tts
Date: 25/12/2018

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Network_science


00:00:47 1 Background and history
00:04:15 1.1 Department of Defense initiatives
00:07:43 2 Network properties
00:08:07 2.1 Size
00:10:10 2.2 Density
00:12:04 2.3 Planar Network Density
00:13:16 2.4 Average degree
00:15:16 2.5 Average shortest path length (or characteristic path length)
00:16:50 2.6 Diameter of a network
00:17:25 2.7 Clustering coefficient
00:19:30 2.8 Connectedness
00:20:22 2.9 Node centrality
00:21:55 2.10 Node influence
00:22:31 3 Network models
00:22:55 3.1 Erdős–Rényi random graph model
00:26:01 3.2 Configuration model
00:31:39 3.3 Watts–Strogatz small world model
00:33:16 3.4 Barabási–Albert (BA) preferential attachment model
00:35:43 3.4.1 Mediation-driven attachment (MDA) model
00:39:28 3.5 Fitness model
00:43:32 4 Network analysis
00:43:41 4.1 Social network analysis
00:45:04 4.2 Dynamic network analysis
00:45:59 4.3 Biological network analysis
00:46:49 4.4 Link analysis
00:47:59 4.4.1 Network robustness
00:48:26 4.4.2 Pandemic analysis
00:48:43 4.4.2.1 Susceptible to infected
00:49:39 4.4.2.2 Infected to recovered
00:50:34 4.4.2.3 Infectious period
00:51:16 4.4.3 Web link analysis
00:51:54 4.4.3.1 PageRank
00:53:20 4.4.3.1.1 Random jumping
00:55:23 4.5 Centrality measures
00:57:27 5 Spread of content in networks
00:58:51 5.1 The SIR model
01:03:28 5.2 The master equation approach
01:09:09 6 Interdependent networks
01:09:52 7 Multilayer networks
01:10:31 8 Network optimization



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SUMMARY
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Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).  The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena."