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?

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To make Network Analysis accessible, we'll learn about a free and popular Network Analysis Software called Gephi.

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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.

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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.

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Network Science and its dear friend, Data, are here to throw some of our intuitions about politics and partisanship under the nearest bus.

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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.

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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.  

Dynamic networks are data science's Holy Grail. Here we'll learn why, and what are the applications and implications of dynamic networks. 

How to tell a story about data by using Community Detection in networks. Communities (or clusters) are the building blocks of all networks.