Socio-economic networks are of central importance in economic life. We develop a method of identifying and studying motifs in socio-economic networks by focusing on “dynamic motifs,” i.e., evolutionary connection patterns that, because of “node acquaintances” in the network, occur much more frequently than random patterns. We examine two evolving bi-partite networks: i) the world-wide commercia...

Small-world networks (SWN) are found to be closer to the real social systems than both regular and random lattices. Then, a model for the evolution of economic systems is generalized to SWN. The Sznajd model for the two-state opinion formation problem is applied to SWN. Then a simple de,nition of leaders is included. These models explain some socio-economic aspects. c © 2003 Elsevier Science B....

We review some approaches to the understanding of fluctuations in some models used to describe socio and economic systems. Our approach builds on the development of a simple Langevin equation that characterises stochastic processes. This provides a unifying approach that allows first a straightforward description of the early approaches of Bachelier. We generalise the approach to stochastic equ...

We review the statistical mechanics approach to the study of the emerging collective behavior of systems of heterogeneous interacting agents. The general framework is presented through examples is such contexts as ecosystem dynamics and traffic modeling. We then focus on the analysis of the optimal properties of large random resource-allocation problems and on Minority Games and related models ...

BACKGROUND The socio-economic gradient in health does not seem to apply to overweight among Canadians adults. In the present study, we sought to determine the socio-economic gradient in overweight among Canadian children in distinct economic settings. We further examined socio-economic gradients in underlying behaviours, healthy eating and active living, as well as parental support for these be...

Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. We address this shortcoming by introducing crowd-avoiding recommendation where each object can be shared by only a limited number of users or where object utility diminishes with the number of users sharing it. We use real data to show that contrary to expectations, the introduction of these con...

The paper proposes the use of some stochastic methods in order to explain the presence of the critical points in macroeconomic time series, starting from the classical linear model input-output elaborated by W. Leontief. The development of the model (N. GeorgescuRoegen, 1971) yields the set of the linear differential equations describing the dynamics of a system containing two or more interdepe...