Florent LE BOT y Cedric PERRIN (dirs.), Les chemins de l’industrialisation en Espagne et en France. Les PME et le développement des territoires (XVIIIe-XXe siècles), Bruselas, Berna,Berlín, Frankfurt am Main,Nueva York,Oxford,Viena,Peter Lang,2011,390 pp.

Debo comenzar declarand

Didier Bensadon, Nicolas Praquin et Béatrice Touchelay (éds), Dictionnaire historique de la comptabilité des entreprises, Villeneuve d’Ascq, Presses universitaires du Septentrion, 2016

Si le vocabulaire des concepts de l’économie de l’entreprise vous rebute, on ne peut que vous conseiller de lire et surtout d’utiliser ce dictionnaire. L’ouvrage présente des caractéristiques qui, à notre sens, facilitent considérablement la saisie et surtout la compréhension de la dynamique spatiale et temporelle de l’évolution historique depuis le Moyen Âge dans un cadre didactique qui associe les apports des économistes à ceux des grands maîtres de l’Échange depuis Édouard Perroy, Fernand Braudel jusqu’aux tenants américains de l’histoire économique institutionnelle dans la direction suggérée par Douglas North. Ce dictionnaire, construit au cœur d’une population économique réelle et changeante en fonction des progrès des techniques et de la conquête du Monde par les échanges facilite au lecteur l’accès comme l’usage des concepts les plus mobiles

Nota bibliográfica: Jordi Nadal Oller, Joseph M. Benaul y Carles Sudrià (dirs.). Atlas de la industrialización de España 1750-2000 [book review]

Este artículo reseña: Jordi Nadal Oller, Joseph M. Benaul y Carles Sudrià (dirs.). Atlas de la industrialización de España 1750-2000. Barcelona: Fundación BBVA y Crítica, 2003. Pp. 664.Publicad

Ferromagnetic Phase Transition in Barabasi-Albert Networks

Ising spins put onto a Barabasi-Albert scale-free network show an effective phase transition from ferromagnetism to paramagnetism upon heating, with an effective critical temperature increasing as the logarithm of the system size. Starting with all spins up and upon equilibration pinning the few most-connected spins down nucleates the phase with most of the spins down.Comment: 8 pages including figure

Deterministic Scale-Free Networks

Scale-free networks are abundant in nature and society, describing such diverse systems as the world wide web, the web of human sexual contacts, or the chemical network of a cell. All models used to generate a scale-free topology are stochastic, that is they create networks in which the nodes appear to be randomly connected to each other. Here we propose a simple model that generates scale-free networks in a deterministic fashion. We solve exactly the model, showing that the tail of the degree distribution follows a power law

A stochastic evolutionary model exhibiting power-law behaviour with an exponential cutoff

Recently several authors have proposed stochastic evolutionary models for the growth of complex networks that give rise to power-law distributions. These models are based on the notion of preferential attachment leading to the “rich get richer” phenomenon. Despite the generality of the proposed stochastic models, there are still some unexplained phenomena, which may arise due to the limited size of networks such as protein and e-mail networks. Such networks may in fact exhibit an exponential cutoff in the power-law scaling, although this cutoff may only be observable in the tail of the distribution for extremely large networks. We propose a modification of the basic stochastic evolutionary model, so that after a node is chosen preferentially, say according to the number of its inlinks, there is a small probability that this node will be discarded. We show that as a result of this modification, by viewing the stochastic process in terms of an urn transfer model, we obtain a power-law distribution with an exponential cutoff. Unlike many other models, the current model can capture instances where the exponent of the distribution is less than or equal to two. As a proof of concept, we demonstrate the consistency of our model by analysing a yeast protein interaction network, the distribution of which is known to follow a power law with an exponential cutoff

Directed Accelerated Growth: Application in Citation Network

In many real world networks, the number of links increases nonlinearly with the number of nodes. Models of such accelerated growth have been considered earlier with deterministic and stochastic number of links. Here we consider stochastic accelerated growth in a network where links are directed. With the number of out-going links following a power law distribution, the results are similar to the undirected case. As the accelerated growth is enhanced, the degree distribution becomes independent of the ``initial attractiveness'', a parameter which plays a key role in directed networks. As an example of a directed model with accelerated growth, the citation network is considered, in which the distribution of the number of outgoing link has an exponential tail. The role of accelerated growth is examined here with two different growth laws.Comment: To be published in the proceedings of Statphys Kolkata V (Physica A