Publications | Sophocles

Special Issue “Information Processing in Complex Systems” in Journal Entropy.

Featuring 10 articles on the rapidly growing topic of studying complex systems using an information-theoretic viewpoint.

Guest editor Rick Quax: “All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred and modified. Indeed, bits of information about the state of one element will travel—imperfectly—to the state of the other element, forming its new state. This storage, transfer, and modification of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.”

Published articles

Har Shemesh, O., Quax, R., Miñano, B., Hoekstra, A.G., Sloot, P.M.A. (2016) Non-parametric estimation of Fisher information from real data. In: Physical Review E- Rapid Communications. Vol. 93, 023301. Available at: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.93.023301.
Arbona, A., Bona, C., Massó, J., Miñano, B. and A. Plastino (2016) Complexity and Fisher metric tensor in emergent dynamics of spatial systems. In: Physica A: Statistical Mechanics and its applications. Vol. 448, 216-223. Available at: http://dx.doi.org/10.1016/j.physa.2015.12.093.
Chliamovitch, G., Malaspinas, O. , Chopard, B. (2015) A Truncation Scheme for the BBGKY2 Equation. Entropy 17(11), 7522-7529. Available at: doi:10.3390/e17117522
Paluch, R., Suchecki, K., Hołyst, J.A. (2015) Models of random graph hierarchies. Vol. 88, 266. European Physical Journal B. Available at: doi:10.1140/epjb/e2015-60249-4.
Chliamovitch, G., Dupuis, A., Chopard, B. (2015) Maximum entropy Rate Reconstruction of Markov Dynamics. Entropy 17(6) 3738-3751. Available at: doi:10.3390/e17063738.
Paluch, R., Suchecki, K., Hołyst, J.A. (2015) Hierarchical Cont-Bouchaud model. Acta Physica Polonica A. Vol. 127 (3) A108-A112 . Available at: http://yadda.icm.edu.pl/przyrbwn/element/bwmeta1.element.bwnjournal-article-appv127n3a19kz.
Golub, A., Chliamovitch, G., Dupuis, A., Chopard, B. (2015) Uncovering Discrete Non-Linear Dependence with Information Theory. Entropy, 17(5), 2606-2623. Available at: http://www.mdpi.com/1099-4300/17/5/2606 or doi:10.3390/e17052606.
Chliamovitch, G., Dupuis, A., Golub, A., Chopard, B.(2015) Improving predictability of time series using maximum entropy methods. Europhysics Letters. 101 (10003). Available at: http://iopscience.iop.org/0295-5075/110/1/10003/article or dx.doi.org/10.1209/0295-5075/110/10003.
Chliamovitch, G., Chopard, B., Dupuis, A. (2014) On the Dynamics of Multi-Information in Cellular Automata. Cellular Automata. Lecture Notes in Computer Science 8751. Available at: http://link.springer.com/chapter/10.1007%2F978-3-319-11520-7_10. Presented at the ACRI conference 2014.
Jung, T.I., Vogiatzian, F., Har-Shemesh, O., Fitzsimons, C.P. and R. Quax (2014) Applying Information Theory to Neuronal Networks: From Theory to Experiments. Entropy. 16(11). Available at: http://www.mdpi.com/1099-4300/16/11/5721.
Czaplicka, A, Suchecki, K., Minano, B., Trias, M., Holyst, J.A. (2014) Information slows down hierarchy growth. Physical Review E 89. Available at: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.062810
Duan, W., Quax, R., Lees, M., Qiu, X. and P.M.A. Sloot (2014) Topology dependent epidemic spreading velocity in weighted networks. Journal of Statistical Mechanics: Theory and Experiment (JSTAT). Available at: http://iopscience.iop.org/1742-5468/2014/12/P12020.
Quax, R. (2013) The diminishing role of hubs in dynamical processes on complex networks. Journal of the Royal Society Interface, pp. 151 – 167. Available at: http://rsif.royalsocietypublishing.org/content/10/88/20130568
A. Arbona, C. Bona, B. Miñano, A. Plastino (2013) Statistical complexity measures as telltale of relevant scales in emergent dynamics of spatial systems. Physica A, 11/2013/410. Available at: http://www.sciencedirect.com/science/article/pii/S0378437114003690

Published thesis

Borgdorff, J. Distributed Multiscale Computing. PhD Thesis 2014. [Summary, Full Thesis]

Accepted

Golub, G. Chliamovitch, A. Dupuis, B. Chopard (accepted) Multiscale Representation of High-Frequency Marked Liquidity. Available at: http://arxiv.org/pdf/1402.2198.pdf.
Górski, P.J., Czaplicka, A., Hołyst, J.A. (accepted) Coevolution of Information Processing and Topology in Hierarchical Adaptive Random Boolean Networks. To: European Physical Journal B. Available at: http://arxiv.org/abs/1502.03338.
Har Shemesh, O., Quax, R., Hoekstra, A.G., Sloot, P.M.A. (accepted) Information geometric analysis of phase transitions in complex patterns: the case of the Gray-Scott reaction-diffusion model. To: JSTAT. Available at: http://arxiv.org/abs/1512.02077.

Submitted

G. Siudem, J.A. Holyst (subm) Diffusion on weakly-coupled networks of networks with fitness factors. To: Physical Review E. Available at: http://arxiv.org/abs/1303.2650.
Chliamovitch, G., Chopard, B. and L. Velasquez (subm) Assessing complexity by means of maximum entropy models. To: Physical Review E. Available at: http://arxiv.org/abs/1408.0368.

Under Preparation

Czaplicka, A., Hołyst, J.A. (subm) From equality to diversity – bottom-up approach for hierarchy growth. Available at: http://arxiv.org/abs/1311.4460.