Predicting language diversity with complex network

Evolution and propagation of the world's languages is a complex phenomenon, driven, to a large extent, by social interactions. Multilingual society can be seen as a system of interacting agents, where the interaction leads to a modification of the language spoken by the individuals. Two people can reach the state of full linguistic compatibility due to the positive interactions, like transfer of loanwords. But, on the other hand, if they speak entirely different languages, they will separate from each other. These simple observations make the network science the most suitable framework to describe and analyze dynamics of language change. Although many mechanisms have been explained, we lack a qualitative description of the scaling behavior for different sizes of a population. Here we address the issue of the language diversity in societies of different sizes, and we show that local interactions are crucial to capture characteristics of the empirical data. We propose a model of social interactions, extending the idea from, that explains the growth of the language diversity with the size of a population of country or society. We argue that high clustering and network disintegration are the most important characteristics of models properly describing empirical data. Furthermore, we cancel the contradiction between previous models and the Solomon Islands case. Our results demonstrate the importance of the topology of the network, and the rewiring mechanism in the process of language change

Methane storage in nanoporous material at supercritical temperature over a wide range of pressures

The methane storage behavior in nanoporous material is significantly different from that of a bulk phase, and has a fundamental role in methane extraction from shale and its storage for vehicular applications. Here we show that the behavior and mechanisms of the methane storage are mainly dominated by the ratio of the interaction between methane molecules and nanopores walls to the methane intermolecular interaction, and a geometric constraint. By linking the macroscopic properties of the methane storage to the microscopic properties of a system of methane molecules-nanopores walls, we develop an equation of state for methane at supercritical temperature over a wide range of pressures. Molecular dynamic simulation data demonstrates that this equation is able to relate very well the methane storage behavior with each of the key physical parameters, including a pore size and shape and wall chemistry and roughness. Moreover, this equation only requires one fitted parameter, and is simple, reliable and powerful in application

Two Contexts for Economics in Competition Law - Justifying Competition Law in the Face of Consumers' Bounded Rationality - Deterrence Effects and Competitive Effects

Competition law accommodates two different contexts within which economics may be applied, each defined by a distinct type of cause-effect relationships. First, there are effects of competition law on business conduct (deterrence effects), embodying the fact that businesses take into account legal sanctions when planning their actions. The field studying these effects is Economic Analysis of Law. Second, there are effects of business conduct on competition (competitive effects), which occur through the influence of businesses with market power on behaviour of their customers, suppliers and competitors. This influence falls within the ambit of Industrial Organization. Awareness of the distinction makes it possible to appreciate certain aspects of the application of economics to competition law issues. For instance, within the discourse on this application, the context of competitive effects receives significantly more attention than the context of deterrence effects. Also the often voiced observation that economics and competition law are closely related regards predominantly the former context