ArticleScientific reports2016
Detecting early signs of the 2007-2008 crisis in the world trade.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Network evolution of centrality maximizing agents: An empirical evidence of nestedness emergence.PNAS nexus · 2025Article
- Article
- Understanding European integration with bipartite networks of comparative advantage.PNAS nexus · 2022Article
- Bow-tie structures of twitter discursive communities.Scientific reports · 2022Article
- MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach.Scientific reports · 2021Article
- Structure of Investor Networks and Financial Crises.Entropy (Basel, Switzerland) · 2021Article
- Urbanization and economic complexity.Scientific reports · 2021Article
- Italian Twitter semantic network during the Covid-19 epidemic.EPJ data science · 2021Article
- Shock propagation channels behind the global economic contagion network. The role of economic sectors and the direction of trade.PloS one · 2021Article
- The ambiguity of nestedness under soft and hard constraints.Scientific reports · 2020Article
- Patterns of ties in problem-solving networks and their dynamic properties.Scientific reports · 2020Article
- Analysing the evolution of aerospace ecosystem development.PloS one · 2020Article
- Do economic shocks spread randomly?: A topological study of the global contagion network.PloS one · 2020Article
- Flickering in Information Spreading Precedes Critical Transitions in Financial Markets.Scientific reports · 2019Article
- Network motifs and their origins.PLoS computational biology · 2019Review
- Unfolding the Complexity of the Global Value Chain: Strength and Entropy in the Single-Layer, Multiplex, and Multi-Layer International Trade Networks.Entropy (Basel, Switzerland) · 2018Article
- Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation.Entropy (Basel, Switzerland) · 2018Article
- Colombian Export Capabilities: Building the Firms-Products Network.Entropy (Basel, Switzerland) · 2018Article
- A New and Stable Estimation Method of Country Economic Fitness and Product Complexity.Entropy (Basel, Switzerland) · 2018Article
- Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm.Entropy (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2007, several contributions have tried to identify early-warning signals of the financial crisis. However, the vast majority of analyses has focused on financial systems and little theoretical work has been done on the economic counterpart. In the present paper we fill this gap and employ the theoretical tools of network theory to shed light on the response of world trade to the financial crisis of 2007 and the economic recession of 2008-2009. We have explored the evolution of the bipartite World Trade Web (WTW) across the years 1995-2010, monitoring the behavior of the system both before and after 2007. Our analysis shows early structural changes in the WTW topology: since 2003, the WTW becomes increasingly compatible with the picture of a network where correlations between countries and products are progressively lost. Moreover, the WTW structural modification can be considered as concluded in 2010, after a seemingly stationary phase of three years. We have also refined our analysis by considering specific subsets of countries and products: the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on developing countries, suggesting the emerging economies as being the most sensitive ones to the global economic cycles.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.