NETfrix - Network Science Podcas‪t‬ Asaf Shapira

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

#Network_Science #SNA #Social_Network_Analysis #graph_theory #social_physics #data_science #data_analysis #facebook

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_Review

Transcripts are available on SNApod.net
See 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

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.


#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

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_Review

Transcripts are available on SNApod.net
See you on the other side of NETfrix.

In this episode we'll learn how to tell a story about data by using the network's gravity centers or hubs.
We'll find out that hubs come in many forms and stem from different notions of what it means to be central in a network. We'll learn how to find them and how to apply this knowledge to many fields, like social media, advertising and... even on Game Of Thrones.
No spoilers.

PLS review here: http://bit.ly/NETfrix_Review

Transcripts are available on SNApod.net
See you on the other side of NETfrix.

What do Facebook, Bitcoin and an ad campaign for designer glasses have in common? They all conform to Network Science laws. These laws are universal and are manifested in a n y network.
Understanding these laws would change your perception of the world, and your data. I've warned you - Network Analysis is a powerful tool. Use it wisely - don't lose your head.

PLS review here: http://bit.ly/NETfrix_Review


Transcripts are available on SNApod.net
See you on the other side of NETfrix.