Analysis and models of bilateral investment treaties using a social networks approach | ||
| dc.conicet.organizacion | Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación | |
| dc.conicet.organizacion | Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación | |
| dc.conicet.organizacion | Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló" | |
| dc.conicet.organizacion | Columbia University | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.produccionid | 4894189 | |
| dc.contributor.author | Saban, Daniela | |
| dc.contributor.author | Bonomo, Flavia | |
| dc.contributor.author | Stier, Nicolas | |
| dc.date.accessioned | 2017-04-10T18:49:13Z | |
| dc.date.available | 2017-04-10T18:49:13Z | |
| dc.date.issued | 2010-04-11 | |
| dc.date.updated | 2017-04-06T16:52:20Z | |
| dc.description.abstract | Bilateral investment treaties (BITs) are agreements between two countries for the reciprocal encouragement, promotion and protection of investments in each other’s territories by companies based in either country. Germany and Pakistan signed the first BIT in 1959 and since then, BITs are one of the most popular and widespread form of international agreement. In this work we study the proliferation of BITs using a social networks approach. We propose a network growth model that dynamically replicates the empirical topological characteristics of the BIT network. | es |
| dc.description.fil | Fil: Saban, Daniela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina | |
| dc.description.fil | Fil: Bonomo, Flavia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina | |
| dc.description.fil | Fil: Stier, Nicolas. Columbia University; Estados Unidos | |
| dc.format | application/pdf | es |
| dc.identifier.citation | Saban, Daniela; Bonomo, Flavia; Stier, Nicolas; Analysis and models of bilateral investment treaties using a social networks approach; Elsevier; Physica A: Statistical Mechanics And Its Applications; 389; 17; 11-4-2010; 3661-3673 | es |
| dc.identifier.issn | 0378-4371 | |
| dc.identifier.uri | http://hdl.handle.net/11336/15087 | |
| dc.journal.ciudad | Amsterdam | es |
| dc.journal.number | 17 | es |
| dc.journal.pagination | 3661-3673 | es |
| dc.journal.pais | Países Bajos | es |
| dc.journal.title | Physica A: Statistical Mechanics And Its Applications | es |
| dc.journal.volume | 389 | es |
| dc.language.iso | eng | es |
| dc.publisher | Elsevier | es |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.physa.2010.04.001 | |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378437110002979 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ | es |
| dc.subject | Bilateral Investment Treaties | es |
| dc.subject | Complex Networks | es |
| dc.subject | Network Growth Models | es |
| dc.subject | Social Networks | es |
| dc.subject.classification | Matemática Aplicada | es |
| dc.subject.classification | Matemáticas | es |
| dc.subject.classification | CIENCIAS NATURALES Y EXACTAS | es |
| dc.title | Analysis and models of bilateral investment treaties using a social networks approach | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
Archivos
Bloque original
Cargando...
- Nombre:
- CONICET_Digital_Nro.18350.pdf
- Tamaño:
- 644.73 KB
- Formato:
- Adobe Portable Document Format