What's the rumpus 😊 I'm Asaf Shapira and this is NETfrix, The Network Science Podcast. Today we're going to have a talk with the one and only 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. In between, he managed to squeeze out a monumental book titled "The Atlas for the Aspiring Network Scientist", which we'll be on our to-talk-about-list. We'll also review some

What's the rumpus 😊 I'm Asaf Shapira and this is NETfrix, the Network Science Podcast. In the last few weeks, months and even years, there's a buzz about the issue of polarization in politics. Partisanship seems to manifest itself everywhere from the House of delegates to social media, Maybe, that's why we prefer to stay in our echo chamber castles because out there, we know it's a killing zone for different opinions. For some, a bit more old-fashioned, I guess, this ain't

What's the rumpus, :) I'm Asaf Shapira and this is NETfrix. In the first part of this episode we've learned about methods to model dynamic networks and covered the basics of chaotic systems. We've shown how chaos limits our ability to predict the future because chaos knows no routine. In a chaotic system, what's happened in the past doesn't reflect on what would happen in the future. We've seen it in the weather's eco-system and now, I think we're ready to apply these princ

What's the rumpus :) I'm Asaf Shapira and this is NETfrix. In the previous episodes, most of the networks we've covered were static networks. By static, I mean that we viewed only a snapshot of the network, meaning networks in a given time frame. But it is clear to all that networks are for the most part - dynamic. So why deal with static networks, if they are dynamic? That's a great question. Especially if you think about it, the potential applications of cracking network dy

What's the rumpus :) I'm Asaf Shapira and this is NETfrix. In the last episode we learned that since the 21st century, network science acknowledged that networks are not random, and they follow universal laws. And if the Power Law is the network's rule No. 1, then rule No. 2 is: Nodes in networks congregate to communities. What does it mean? A closer look at the internal structure of a network shows that a network is made up of dense clusters that are highly inter-connected.

What's the rumpus :) I'm Asaf Shapira and this is NETfrix. Who are the bottlenecks in my organization? Who should we target for an advertising campaign? How to tell a story about data? Are rhetorical questions an essential part of network analysis? Let's find out. Like most of our world, the network is also a Power Law distribution, that is, there are a few central nodes and most of the nodes are marginal. So, if there are only a few big hubs in the network, how shall we find

What's the rumpus. I'm Asaf Shapira and this is NETfrix. The Power Law distribution is perhaps the most basic but awesome phenomenon in networks. We met the Power Law in the previous episode and, as advertised, this episode will dig deeper on the subject and broaden our understanding of it and most importantly: how can it help us in life? This episode will consist of two parts: Part one will serve as an introduction to explain what is a Power Law and why the Power Law is not

What's the rumpus :) I'm Asaf Shapira and this is NETfrix. I practice network analysis for years and founded the first podcast in Israel that tackles the fascinating world of network science. Networks are the building blocks of our universe and we encounter them everywhere. That's why understanding networks is essential to understand our world and our data. If networks are everywhere, then to miss out on the chance to learn about them seems like border line carelessness.

What's the rumpus :) I'm Asaf Shapira and this is NETfrix. In this podcast we will talk about the magical field of network science, graph theory, social network analysis or SNA and everything in between. And that's a lot… I have been practicing network analysis for years and also founded the first podcast in Israel to tackle the fascinating world of network science. Maybe it's my Israeli upbringing, but I find network analysis much like Krav Maga. Krav Maga is a fighting s