Social networks are remarkably small, in the sense that you can hop between any two individuals in them using only a few hops. This video explains what such small-world networks are, why social networks are so small.
If, after reading the title, your immediate response is to shout "1/6-th", then you have correctly answered the question. Well done! However, in this article we will focus on the meaning of this question. What exactly is this "chance" of which you've just exclaimed it equals 1/6-th?
Have you ever found yourself less popular when compared to your friends? Interestingly, in any group of individuals, on average, people have fewer friends than their friends do, or at the very most, an equal number. Not more!
One of the main building blocks of modern AI-tools are artificial neural networks, abstract models inspired by the structure and functions of biological neural networks which enable machines to "learn". In this article, I will discuss some thoughts on this topic.
Common sense tells us that objects of comparable size should be equally hard to find. Yet, when searching inside a random network, surprises are awaiting . . .
About a year ago, I came across an interesting event organised by the Youtube channel 3Blue1Brown. In this article, I give a quick overview of how I joined this competition, chose the topic, and made the video.
