Dynamic networks are data science's Holy Grail. Here we'll learn why, and what are the applications and implications of dynamic networks.
To do so, we'll have to understand what it has to do with complex system, chaos theory and, of course, groundhogs.
PLS review here: http://bit.ly/NETfrix_Review
Transcripts are available on SNApod.net
See you on the other side of NETfrix.
NETfrix Shorts: Why is Dunbar the loneliest number?
NETfrix ep11:Anyone can analyze networks
NETfrix ep10: What's the rumpus about Networks2021 conference?
NETfrix ep09: Six Degrees of Intuition
NETfrix ep08: The Episode for the Aspiring Network Scientist w/Michele Coscia
NETfrix ep07: Partisanship in politics and Network Science
NETfrix - the Network Science Podcast - TRAILER
NETfrix ep06B: Groundhog’s day, Dynamic Networks and Data’s Holy Grail - Part 2
NETFRIX ep05: Communities in Networks- The #2 law of networks
NETfrix ep04: "Game of Ties" – Centrality measures battling it out
NETFRIX ep03: Powerlaw - The #1 law of networks
NETFRIX ep02: Is it really a Small World? The truth about the network
NETFRIX ep01: Intro to Network Science or: how to find the submarines
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