The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
On the topological properties of the world trade web: A weighted network analysis
Open accessAbstract
This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach. In particular, we find that: (i) the majority of existing links are associated to weak trade relationships; (ii) the weighted WTW is only weakly disassortative; (iii) countries holding more intense trade relationships are more clustered.
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Cites
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The Structure and Function of Complex Networks
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Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400087101 · Cited by 4,218
Empirical Analysis of an Evolving Social Network
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Cited by
Network Analysis for International Relations
Hafner-Burton, E. M., Kahler, M., & Montgomery, A. H. (2009) · International Organization · doi:10.1017/s0020818309090195 · Cited by 1,008
Economic Networks: The New Challenges
Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., Vespignani, A., & White, D. R. (2009) · Science · doi:10.1126/science.1173644 · Cited by 931
Self-citationThe Network of Global Corporate Control
Vitali, S., Glattfelder, J. B., & Battiston, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025995 · Cited by 827
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A network analysis of global banking: 1978–2010
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Metadata
- Authors
- Fagiolo, G., Reyes, J., & Schiavo, S.
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 387
- Issue
- 15
- Pages
- 3868-3873
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2158328144
- Cited by
- 294
- References
- 22
- FWCI
- 10.48
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
