Rare events tend to make our everyday lives somewhat more complicated. The problem is that usually those event are unavoidable, but the nice thing is that they are extremely rare. In certain system some small deviations, which occur more frequently than the aforementioned "rare events", may be amplified in a way to cause a catastrophe. The financial markets are on of such systems - they are intrinsically highly complex. The article developing these ideas was published on ekonomika.lt, thus we would like to suggest reading it (though note that the article is written in Lithuanian).

Read the article on ekonomika.lt »

Previously we have written about the Barabasi-Albert model. In the text we have mentioned that scale-free networks are also ultra small world networks. This time we invite you to familiarize yourself with the empirical work done by the A. L. Barabasi himself in which he made interesting discoveries about the World Wide Web.

Read the article "Any Two Pages on the Web Are Connected By 19 Clicks or Less" on the smithsonian.com »

Do you remember a talk "Who controls the world? " given by J. B. Glatterfelder on the ted.com website? If not, you could go ant watch now or rely on us. As far as we remember the key point behind the talk is a scientific discovery of a fact that few hundred of large financial institutions control majority of the smaller financial institutions all around the world. Interestingly enough these large financial institutions also control each other! In this text we will give some examples which will show that similar network topology may form not only due to the conspiracy of these institutions, but also due to the other reasons.

Thus in this text we continue our topic on the network formation models. This time we will be interested in the so-called core-periphery network formation models, which will grow networks with well pronounced core and periphery.

Previously we have written about the scale-free network model, which was proposed by A. L. Barabasi and his coauthors. This time we invite you to listen to the talk by this renowned scientists. His talk about the network theory and his work was recorded and published by the representatives of the Science for the Public nonprofit organization.

The term "cellular network" might confuse some readers as it also bears a meaning of the mobile phone network. Yet this time we will not talk about the mobile phone networks, though it is quite possible to say a lot about them from a point of view of the network theory and the most recent research. This time we will consider a new, at least on Physics of Risk website, network topology and at the same time network formation model.

Note 2024: The model we are referring here as "cellular network" in the modern literature is more commonly referred to as the "stochastic block model". "Cellular network" term was borrowed from course I have been watching at the time of writing this post.