By Giorgio Fagiolo, Javier Reyes, Stefano Schiavo (auth.), Santo Fortunato, Giuseppe Mangioni, Ronaldo Menezes, Vincenzo Nicosia (eds.)
We dwell in a networked global. everyone is getting a growing number of interconnected in the course of the new details and conversation applied sciences, like cellphones and the Internet.
The functionality of cells might be understood through networks of interacting proteins. Ecosystems should be defined via networks of taxonomic relationships among species. The community illustration has proved to be a strong software to appreciate the constitution and the dynamics of complicated platforms. because the pioneering discovery of the scale-free estate of the realm vast internet by way of Albert, Jeong and Barabási, the research of advanced networks has develop into the prime self-discipline in complexity science.
This quantity is meant to convey to the eye of the clinical group contemporary advances in complicated networks. It covers major features of networks' constitution and dynamics, either from the analytical and the empirical viewpoint. The works of this assortment are contributed by means of a really interdisciplinary neighborhood of scientists, from physicists to mathematicians, from machine scientists to engineers and economists.
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Extra info for Complex Networks: Results of the 2009 International Workshop on Complex Networks (CompleNet 2009)
In the following we will focus on this latter group of genes (cell-cycle genes). For the illustration, in Fig. 2 are shown the expressions for several cell-cycle genes within the first cycle. For each pair of genes we compute the correlation coefficients of the temporal differential gene expressions Δ Xi (t), which is given by Ci j (t − t ) = ∑t (Δ Xi (t) − Δ Xi )(Δ X j (t − t ) − Δ X j ) σi σ j . (2) 26 ˇ J. Zivkovi´ c et al. Fig. c. shown in ranking order (a) and histogram (b). In both panels, top curve includes data of all measurements, while lower three curves are for all genes at a given instant of time in the cell cycle.
Acad. Sci. : Eur. Phys. J. B 38, 253 (2004) 3. : Hierarchical structure in financial markets. European Physical Journal B 11, 193–197 (1999) 4. : Critical behavior and 1/f noise in information traffic. Physica A 233, 824–834 (1996) 5. : Transport on Complex Networks: Flow, Jamming & Optimization. Int. J. Bifurcation and Chaos 17(7), 2363–2385 (2007) 6. : Additive nonparametric reconstruction of dynamical systems from time series. Phys. Rev. E 71(1), 015203 (2005) 7. : Genomics, gene expression and DNA arrays.
Recent works have also pointed out the importance of the interconnected networks in geophysics. In  the graph theory is applied to model geophysical process such as diffusion and transportation in disordered porous rock. In  it is shown that natural fracture/conduit networks can be studied by using a new method based on graph theory. At wider scale, in  a graph based approach is applied to analyze seismic activity observed in Southern California. In this work we analyze planetary volcanoes activity from a topological perspective.