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.

In the previous text we considered statistical information from various sources, exhibiting sustained economic growth of Baltic countries. Now with some confidence we can conclude that even world financial crises has made only short-term impact on the stable growth trend. The Baltic States once again are taking economic growth leadership in EU and will seek to sustain these positions in the nearest future.

The particular role of exports in the recovered economic growth confirms presumptions regarding exceptional manifestation of Balassa-Samuelson effect in Baltics. Nevertheless, one needs more arguments, why this effect contributes more in the development of Baltic region then others. For example, the Visegrad countries, having a similar level of gross domestic product (GDP), should have the same development rate. In this contribution we would like to draw your attention at the statistics of gross earnings, leaving details of macroeconomic modeling aside, as labor earning is a key parameter in all models.

Collective behavior of the individuals in the complex socio-economic systems is influenced by their herding, group, behavior tendencies and their individual preferences. The herding tendencies imply the possibility to control the collective behavior. In this text we discuss this possibility through the context of Kirman's agent-based herding model.

The possibility to control the collective behavior can be clearly seen by taking the social systems as a primary example. In this case we usually have a large uninformed population. Members of this population may not have the necessary skills (or information) to make certain decision, namely they cannot make independent decision on their own. So the uninformed individuals have to rely on the individuals with necessary skills (or information) for advice. They are usually a very small part of the society, yet they are able to shape the behavior on the collective level. Actually this is confirmed by the experiments [1]. Thus we see that the possibility to control the collective behavior is not very unrealistic idea, and therefore it is very interesting topic to be studied.

A three-year PhD student position on Agent-based Computational Economics, starting January 1st 2014, is available at the Department of Mechanical, Energetics, Management and Transport Englineering of the University of Genova, Italy.

Research will be focused on agent-based macroeconomics and financial stability issues within the framework of a new EU funded three-year project starting on October 1st, 2013. The EU project aims to develop an innovative agent-based platform and ICT tools for designing and testing policies and regulatory measures for preventing and mitigating economic and financial crises and fostering an economically and ecologically sustainable growth path.

The PhD candidate will work with the agent-based software platform EURACE and is expected to contribute to its further development.

Applicants should have a Master degree in Engineering, Science or Economics with an adequate background in programming, data analysis and statistics.