Name
Abstract | ||
|---|---|---|
Ecological systems have a high complexity combined with stability and rich biodiversity. The analysis of their properties uses a concept of mutualistic networks and provides a detailed understanding of their features being linked to a high nestedness of these networks. Using the United Nations COMTRADE database we show that a similar ecological analysis gives a valuable description of the world trade: countries and trade products are analogous to plants and pollinators, and the whole trade network is characterized by a high nestedness typical for ecological networks. Our approach provides new mutualistic features of the world trade. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.physleta.2012.10.056 | Physics Letters A |
Keywords | DocType | Volume |
Complex networks,Nestedness,World trade | Journal | 377 |
Issue | ISSN | Citations |
3 | 0375-9601 | 2 |
PageRank | References | Authors |
0.46 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leonardo Ermann | 1 | 48 | 5.94 |
| Dima Shepelyansky | 2 | 111 | 13.71 |