Weighted trade network in a model of preferential bipartite transactions.

A Weighted Bipartite Network Based on the Strength Preferential Attachment 1

A model for the weighted bipartite network is proposed and the growth mechanism is based on the strength preferential attachment. By the rate equation approach, the strength distribution of the bottom nodes is provided and it has a shifted power-law tail, i.e., P (s) ∝ (s + θ)−γ , for large s. The expressions of the parameters θ and γ are also given.

The Role of Preferential Trade Agreement (PTA) between Iran and Malaysia their Intra industry Trade (IIT)

Price Variation in a Bipartite Exchange Network

We analyze the variation of prices in a model of an exchange market introduced by Kakade et al. [11], in which buyers and sellers are represented by vertices of a bipartite graph and trade is allowed only between neighbors. In this model the graph is generated probabilistically, and each buyer is connected via preferential attachment to v sellers. We show that even though the tail of the degree...

Power-law node degree distribution in online affiliation networks

The purpose of this article is to present a preferential attachment model adjusted to generation of bipartite graphs. The original model is able to produce unipartite graphs with node degree distribution following power law relation. The motivation for extending classic model is the fact that multi-partite graph topologies are becoming more and more popular in social networks. This phenomenon r...

Investigation and Comparison of the Welfare and Trade Effects of Iran Free Trade Agreement with Turkey, India and Pakistan countries: Computable General Equilibrium Model

Today, preferential and free trade agreements play an effective role in expanding trade in goods and services at the international level and as common practice in business planning and facilitating trade. The purpose of this article is to examine the trade and welfare effects of Iranchr('39')s free trade agreement with Turkey, India and Pakistan. For this purpose, using the Computable General E...