Szemcsés anyagok sztatikus és dinamikai szerkezete = Static and dynamical structure of granular materials

Számítógépes szimulációkkal vizsgáltuk a mágneses szemcsék lavináinak tulajdonságait. A rendszert a mágneses és a gravitációs kölcsönhatás erősségének f hányadosa jellemzi. A rézsűszög és a felületi durvaság lineárisan változik f-fel. Hasonlóan a kohézív rendszerekhez, a lavinadinamika szempontjából két tartomány figyelhető meg. Tanulmányoztuk a nyírási sávok kialakulását három dimenzióban, triaxiális elrendezésben. Kidolgoztuk a nyírási sávok numerikus azonosításának technikáját. Szimmetriasértő sávokat találtunk, amennyiben a külső kényszer ezeket nem akadályozta meg. A kísérletekkel egyezésben elmozdulási keményedést azonosítottunk. A sávon belül kritikus sűrűség áll be, amelynek végtelen súrlódáshoz tartozó határértéke csak a szemcsék alakjától függ. Általánosítottuk korábbi, nyírási sávokra vonatkozó elméletünket. Az új modell a kísérletekkel kiváló egyezésben írja le a módosított Couette?cellás kísérleteket. Megjósoltuk és szimulációval igazoltuk, hogy különböző súrlódású közegek határán a fénytöréshez hasonló nyírási sáv refrakció következik be. Vizsgáltuk, hogy torlódott állapotú rendszer perturbációjának hatását. Hatványfüggvény-szerű lecsengést találtunk az elmozdulási térben, ahol az exponens a súrlódás nem triviális függvénye, hasonlóan az elmozdulást kiváltó kritikus erő nagyságához és a behatolási mélységhez. Ezt a nem-monoton kapcsolatot összefüggésbe hoztuk a korábban, a sztatikus erőhálózatokban talált fluktuációk súrlódás-függésével. | Using computer simulations we studied the properties of avalanches of magnetic grains. The system is characterized by the ratio f of the magnetic and gravitational interaction. The angle of repose and the surface roughness vary linearly with f. Similarly to cohesive systems, we could distinguish two regimes from the point of view of the avalanche dynamics. We investigated the formation of shear bands in three dimensional axisymmetric arrangement. We constructed the techniques of identifying the sear bands. We found symmetry breaking bands whenever the external constraints did not hinder them. In agreement with experiments we found strain hardening. Within the band a critical density developed, which, in the infinite friction limit, had a value depending only on the shape of the grains. We generalized our earlier theory of the shear bands. The new model describes the experiments in the modified Couette-cell excellently. We predicted and proved by simulations that on the boundary of two media with different frictions refraction of shear bands takes place, similarly to the refraction of light. We investigated the effects of perturbations of the jammed state. We found power law decay in the displacement field where the exponent is a non-trivial function of the friction, similarly to the critical force and the penetration depth. These non-monotonic dependences were related to the friction-dependence of fluctuations in the force network found earlier static packings

Scaling of random spreading in small world networks

In this study we have carried out computer simulations of random walks on Watts-Strogatz-type small world networks and measured the mean number of visited sites and the return probabilities. These quantities were found to obey scaling behavior with intuitively reasoned exponents as long as the probability $p$ of having a long range bond was sufficiently low.Comment: 3 pages, 4 figure

Multilayer weighted social network model

Recent empirical studies using large-scale data sets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multilayered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social network (WSN) model showing the Granovetterian structure. We find that when merging such WSN models, a sufficient amount of interlayer correlation is needed to maintain the relationship between topology and link weights, while these correlations destroy the enhancement in the community overlap due to multiple layers. To resolve this, we devise a geographic multilayer WSN model, where the indirect interlayer correlations due to the geographic constraints of individuals enhance the overlaps between the communities and, at the same time, the Granovetterian structure is preserved.Comment: 9 pages, 9 figure

Sampling networks by nodal attributes

In a social network individuals or nodes connect to other nodes by choosing one of the channels of communication at a time to re-establish the existing social links. Since available data sets are usually restricted to a limited number of channels or layers, these autonomous decision making processes by the nodes constitute the sampling of a multiplex network leading to just one (though very important) example of sampling bias caused by the behavior of the nodes. We develop a general setting to get insight and understand the class of network sampling models, where the probability of sampling a link in the original network depends on the attributes $h$ of its adjacent nodes. Assuming that the nodal attributes are independently drawn from an arbitrary distribution $\rho(h)$ and that the sampling probability $r(h_i , h_j)$ for a link $ij$ of nodal attributes $h_i$ and $h_j$ is also arbitrary, we derive exact analytic expressions of the sampled network for such network characteristics as the degree distribution, degree correlation, and clustering spectrum. The properties of the sampled network turn out to be sums of quantities for the original network topology weighted by the factors stemming from the sampling. Based on our analysis, we find that the sampled network may have sampling-induced network properties that are absent in the original network, which implies the potential risk of a naive generalization of the results of the sample to the entire original network. We also consider the case, when neighboring nodes have correlated attributes to show how to generalize our formalism for such sampling bias and we get good agreement between the analytic results and the numerical simulations.Comment: 11 pages, 5 figure

The most controversial topics in Wikipedia: A multilingual and geographical analysis

We present, visualize and analyse the similarities and differences between the controversial topics related to "edit wars" identified in 10 different language versions of Wikipedia. After a brief review of the related work we describe the methods developed to locate, measure, and categorize the controversial topics in the different languages. Visualizations of the degree of overlap between the top 100 lists of most controversial articles in different languages and the content related to geographical locations will be presented. We discuss what the presented analysis and visualizations can tell us about the multicultural aspects of Wikipedia and practices of peer-production. Our results indicate that Wikipedia is more than just an encyclopaedia; it is also a window into convergent and divergent social-spatial priorities, interests and preferences.Comment: This is a draft of a book chapter to be published in 2014 by Scarecrow Press. Please cite as: Yasseri T., Spoerri A., Graham M., and Kert\'esz J., The most controversial topics in Wikipedia: A multilingual and geographical analysis. In: Fichman P., Hara N., editors, Global Wikipedia:International and cross-cultural issues in online collaboration. Scarecrow Press (2014

Failure and avalanches in complex networks

We study the size distribution of power blackouts for the Norwegian and North American power grids. We find that for both systems the size distribution follows power laws with exponents $-1.65 \pm 0.05$ and $-2.0 \pm 0.1$ respectively. We then present a model with global redistribution of the load when a link in the system fails which reproduces the power law from the Norwegian power grid if the simulation are carried out on the Norwegian high-voltage power grid. The model is also applied to regular and irregular networks and give power laws with exponents $-2.0\pm0.05$ for the regular networks and $-1.5\pm0.05$ for the irregular networks. A presented mean field theory is in good agreement with these numerical results.Comment: Added new references and some minor extentions on request from referee. Changed figure order. Added journal re