NETfrix - Network Science Podcast

NETfrix is the 1st podcast dedicated to Network Science (or: the dark side of Data Science). ”With great power comes great responsibility” and Network Analysis is as powerful as it gets so be careful. NETfrix website: https://en.snapod.net (podcast&transcripts)

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Episodes

Sunday Jan 23, 2022

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 was of disbelief. 150 sounded to them as an inflated number. If it is true, where are all these friends? So who's right - Dunbar or the talkbackers?
To help expand the SNA and Network Science community, NETfrix needs your ratings! Rate NETfrix on Spotify or Apple podcasts.
Click for Transcript & Links
See you on the other side of NETfrix.:)
#Podcast #NetworkScience #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #Statistics #ONA #Haaretz #AlanAlda

Sunday Dec 05, 2021

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 developer 😊.In the next episode, we'll continue this survey with about a dozen more free Network Analysis Software.To help expand the SNA and Network Science community, NETfrix needs your ratings! Rate, review or tag NETfrix on Facebook/Twitter/Linkedin/Instagram.The most creative reviews/posts will be read in the following episodes.
Click for Transcript & Links
See you on the other side of NETfrix.:)
#Podcast #NetworkScience #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #Software #Survey #Gephi #Java

Sunday Jun 13, 2021

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_Networks2021BlogRate NETfrix: http://bit.ly/Rate_NetfrixFollow on Twitter: https://bit.ly/netfrixP_Twitter
Subscribe (by Email or on any podcast platform): https://bit.ly/NETfrix
See you on the other side of NETfrix.:)#NETfrix #Podcast #NetworkScience #Networks2021 #NETSCI #INSNA #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #SocialScience #Physics

Sunday May 02, 2021

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.
Transcripts are available on SNApod.net
Follow on Twitter: https://bit.ly/netfrixP_Twitter See you on the other side of NETfrix.
#NetworkScience #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #SocialScience #Physics #Podcast

Wednesday Apr 14, 2021

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 the first network science joke in a podcast and lastly, we'll try to crack open the mystery behind Italian's obsession with Network Science and podcasts.SUBSCRIBE or review here: http://bit.ly/NETfrix_ReviewTranscripts are available on SNApod.netSee you on the other side of NETfrix.
#NetworkScience #DataScience #Podcast #SNA #SocialNetworkAnalysis #GraphTheory #ComputerScience #SocialPhysics #Statistics #Mathematics #SocialScience #Physics

Wednesday Mar 10, 2021

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 network's links… So, who shall prevail?SUBSCRIBE or review here: http://bit.ly/NETfrix_ReviewTranscripts are available on SNApod.netSee you on the other side of NETfrix.
#NetworkScience #DataScience #Podcast #politics #facebook #Twitter #SNA #SocialNetworkAnalysis #GraphTheory #ComputerScience #SocialPhysics    #Statistics #Mathematics #SocialScience #Physics #politic
 

Thursday Feb 04, 2021

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 good stuff, SUBSCRIBE: https://bit.ly/NETfrix 
#Network_Science #Data_Science #SNA #Social_Network_Analysis #graph_theory #social_physics #data_science #data_analysis #facebook

Thursday Jan 07, 2021

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.netSee you on the other side of NETfrix.
#Network_Science #SNA #Social_Network Analysis #Graph_Theory #Data_Science #Social_Physics #Computer_Science #Statistics #Mathematics #Social_Science #Physics #Facebook #Podcast #chaos #complex_system #connectome #machine_learning

Friday Jan 01, 2021

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_ReviewTranscripts are available on SNApod.netSee you on the other side of NETfrix.
#Network_Science #SNA #Social_Network Analysis #Graph_Theory #Data_Science #Social_Physics #Computer_Science #Statistics #Mathematics #Social_Science #Physics #Facebook #Podcast #chaos #complex_system #connectome #machine_learning

Thursday Dec 24, 2020

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 Data. And I promise - your views about cauliflowers will never be the same. PLS review here: http://bit.ly/NETfrix_ReviewTranscripts are available on SNApod.netSee you on the other side of NETfrix.

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What is Network Science?

A network is a representation of reality by using nodes, which represent the factors or actors, and edges to represent the connections between those factors.

At the base of network science is the discovery that networks operate according to universal laws. These laws allows us to deal with complex systems (and big data) and derive many insights from them.

The podcast will combine research and paprers, alongside examples and applications, of network science in a wide variety of fields, including social sciences, complex systems analysis, influence, intelligence, sports, epidemiology, politics, organizational and industrial consulting, and high-tech.

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