NETfrix - Network Science Podcast

Dunbar's Number is a well-known concept which states that the number of social ties a person has is about 150. But... when Dunbar, the famous researcher who came up with this thesis, promoted this idea on his many interviews lately, people's reaction...

To make Network Analysis accessible, we'll learn about a free and popular Network Analysis Software called Gephi.In this episode, Gephi's founder, Mathieu Jacomy, will reveal new features and make you an offer you can't refuse if you're a Java develo...

This episode features Dr. Ann McCranie, the Chief Organizer, with special tips to newcomers & Prof. Baruch Barzel on his lab's presentation about new discoveries & mysteries of Network Dynamics.Transcript & Links: http://bit.ly/NETfrix_Networks2021Bl...

This episode is dedicated to improving our intuitions about networks, using the naive idea of 6-Degrees-of-separation and flip it (literally). On the way, we'll learn some new network laws. SUBSCRIBE or review here: http://bit.ly/NETfrix_ReviewTransc...

Michele Coscia, an associate professor at IT University of Copenhagen by day, and by night, the author of the "Connecting Humanities" Blog for Network Science and "The Atlas for the Aspiring Network Scientist". Together we'll make history by telling...

Network Science and its dear friend, Data, are here to throw some of our intuitions about politics and partisanship under the nearest bus. Partisanship is Networks' nemesis: Networks are all about connecting while partisanship hacks away at the netwo...

Network Science is an emerging & exciting field in Data Science and it brought to you by an emerging & exciting podcast. BUT be careful! Because with the great power that network analysis can give you - comes great responsibility. For more of the goo...

Here we'll discuss why dynamic networks are chaotic and what are the implications and applications of this statement, especially, to the field of machine learning.  PLS review here: http://bit.ly/NETfrix_ReviewTranscripts are available on SNApod.netS...

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, groundhog...

How to tell a story about data by using Community Detection in networks. Communities (or clusters) are the building blocks of all networks.In this episode we'll learn about their formation and special features, and how to apply this knowledge on Big ...