Lithuanian scientists join the FuturICT project

In the past few year European econophysicists shared a rumors on the upcoming flagship project, which should innovate not only econophysics, but also economic and other social sciences. Finally it has started and Lithuanian scientists have joined it! We, scientists of VU ITPA, are also among them.

More information can be found on the official project home page

New things on Physics of Risk

Physics of Risk meets new year with some significant improvements.

Firstly all of the texts on models were converted from page to post format. This small improvement will enable flexible handling of main topics. Now such models as Kirman's unidirectional model will appear in all relevant topics covered by Physics of Risk - in the given case you'll see the model under both agent-based modeling and business processes main topics. Some general models will find their place under the new "General models" topic.

One year running

A year has passed since the opening of the renew Physics of Risk website. This year was highly productive for us, the contributors. We have published 7 new econophysical, 1 fractal + 3 stochastic + 3 agent-based, models and 18 models of varying business processes. Some of the models belonging to these two groups are very similar (we have found that most similar are Bass diffusion model and Unidirectional Kirman's model) thus serving as a proof for the potential applicability of the ideas developed in the econophysical sections.

Slides from the “Science for business and society” conference

Slides from the closure conference were made available at portal's science news website. Though note that slides are only available in Lithuanian (see here). We would like to remind you that Physics of Risk was represented by V. Gontis and V. Daniūnas, thus their slides might be the most useful for visitors of Physics of Risk website.

Multifractality of time series

One of the conclusions of fractal geometry is a fact that fractals unlike traditional Euclidean shapes lack characteristic scale. Those "fractured" objects are self-similar - defining geometry is clearly visible on multitude of scales. It is known that self-similarity is observed not only in formally defined geometric objects, such as Sierpinski triangle or Koch snowflake, but also in the surrounding nature. One of my most favorite examples is a comparison of tree, its branches and a leaf (for more inspiring examples see introduction of Fractals section) - they all have branching structure and something green filling the extra space in between.

The interesting thing, in context of the topic in focus, is that one can extend fractal formalism beyond formal or natural geometric shapes. It is also noticed that some of the natural processes exhibit fractal features in their time series! It is known that geoelectrical processes [1], heartbeat [2] and even human gait [3] time series posses this feature. While financial market, frequently analyzed on Physics of Risk website, time series are also no exception [4, 5]. Though the aforementioned time series are much more complex - they exhibit not monofractality (single manner self-similar behavior as the aforementioned formal geometric fractals do), but multifractality!