scholarly journals A network analysis of global cephalopod trade

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Andres Ospina-Alvarez ◽  
Silvia de Juan ◽  
Pablo Pita ◽  
Gillian Barbara Ainsworth ◽  
Fábio L. Matos ◽  
...  
Keyword(s):  
Network Analysis ◽  
Global Market ◽  
Centrality Measures ◽  
Global Trade ◽  
Emergent Properties ◽  
Trade Network ◽  
Environmentally Sustainable ◽  
The Usa ◽  
Weak Points ◽  
First Time

AbstractThe global trade in cephalopods is a multi-billion dollar business involving the fishing and production of more than ten commercially valuable species. It also contributes, in whole or in part, to the subsistence and economic livelihoods of thousands of coastal communities around the world. The importance of cephalopods as a major cultural, social, economic, and ecological resource has been widely recognised, but research efforts to describe the extent and scope of the global cephalopod trade are limited. So far, there are no specific regulatory and monitoring systems in place to analyse the traceability of the global trade in cephalopods at the international level. To understand who are the main global players in cephalopod seafood markets, this paper provides, for the first time, a global overview of the legal trade in cephalopods. Twenty years of records compiled in the UN COMTRADE database were analysed. The database contained 115,108 records for squid and cuttlefish and 71,659 records for octopus, including commodity flows between traders (territories or countries) weighted by monetary value (USD) and volume (kg). A theoretical network analysis was used to identify the emergent properties of this large trade network by analysing centrality measures that revealed key insights into the role of traders. The results illustrate that three countries (China, Spain, and Japan) led the majority of global market movements between 2000 and 2019. Based on volume and value, as well as the number of transactions, 11 groups of traders were identified. The leading cluster consisted of only eight traders, who dominated the cephalopod market in Asia (China, India, South Korea, Thailand, and Vietnam), Europe (the Netherlands, and Spain), and the USA. This paper identifies the countries and territories that acted as major importers or exporters, the best-connected traders, the hubs or accumulators, the modulators, the main flow routes, and the weak points of the global cephalopod trade network over the last 20 years. This knowledge of the network is crucial to move towards an environmentally sustainable, transparent, and food-secure global cephalopod trade.

scholarly journals Main actors in the Cephalopod Global Trade Network: a graph theory analysis

2021 ◽  
Author(s):  
Andres Ospina-Alvarez ◽  
Silvia de Juan Mohan ◽  
Pablo Pita ◽  
Gillian Ainsworth ◽  
Fabio Matos ◽  
...  
Keyword(s):  
Captive Breeding ◽  
Emergent Properties ◽  
Trade Network ◽  
Network Information ◽  
Graph Theoretic ◽  
Product Flow ◽  
The Usa ◽  
Specific Regulation ◽  
Graph Theory Analysis ◽  
First Time

Abstract The global cephalopod trade is a multi-billion-dollar industry that involves fishing and captive breeding of a dozen species of high commercial value. It also contributes wholly or partly to the income and subsistence of thousands of families around the world. Despite its broad ecological, social, and economic importance, limited research has been conducted to describe the scope and scale of the global cephalopod trade. To date, there is no specific regulation, nor have tracking systems been implemented, to study the traceability of the global cephalopod trade at an international level. We provide, for the first time, a comprehensive description of the legal trade in cephalopods to understand who the key world players in the cephalopod seafood markets are. We analysed 20 years of records compiled by the United Nations COMTRADE database. The database contained 115,108 entries for squid and cuttlefish and 71,659 entries for octopus, including the product flow between traders (countries or territories) weighted by volume (kg) and monetary value (USD). Graph theoretic analysis was used to explore the emergent properties of this database through the analysis of different measures of centrality that provide insights on the key role of the traders in the network. Our findings show that most of the market movements between ca. 250 traders are led by three countries (China, Spain, and Japan), involving 11 clusters of traders based on the volume and value of cephalopod trade and number of transactions. The most important cluster, that dominates the cephalopod seafood market, is composed by 5 Asian countries (China, India, Republic of Korea, Thailand, and Vietnam), 2 European countries (the Netherlands and Spain) and the USA. This work identifies the traders that act as major exporters and/or importers, the modulators, intermediaries or accumulators, the best-connected traders, the principal flow routes and the weaknesses of the global cephalopod trade network. This network information is essential to advance towards a transparent and sustainable cephalopods world trade.

scholarly journals Visualization of clinical teaching citations using social network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Collaboration ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Knowledge Network ◽  
Research Network ◽  
Centrality Measures ◽  
The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

The German milky way: trade structure of the milk industry and possible consequences of a food crisis

2012 ◽  
Vol 12 (1) ◽  
pp. 25-39 ◽  
Author(s):  
B. Pinior ◽  
U. Platz ◽  
U. Ahrens ◽  
B. Petersen ◽  
F. Conraths ◽  
...  
Keyword(s):  
Food Security ◽  
Network Analysis ◽  
Milky Way ◽  
Centrality Measures ◽  
Food Crisis ◽  
Trade Network ◽  
Trade Structure ◽  
Milk Industry ◽  
Improve Food Security

The aim of this paper is to analyze the structure of the trade network between milk producers, dairies and milk collection companies in Germany through a network analysis using suitable centrality measures. The study shows that structures exist among the relevant enterprises which are critical for the spread of a contamination in the German milk trade network. The results may be used to improve food security

scholarly journals Network Analysis of World Trade using the BACI-CEPII Dataset

2014 ◽  
Vol 14 (03n04) ◽  
pp. 287-343 ◽  
Author(s):  
Luca De Benedictis ◽  
Silvia Nenci ◽  
Gianluca Santoni ◽  
Lucia Tajoli ◽  
Claudio Vicarelli
Keyword(s):  
International Trade ◽  
Network Analysis ◽  
World Trade ◽  
Centrality Measures ◽  
Trade Network ◽  
Weighted Version ◽  
Trade Data ◽  
Hands On ◽  
The World

In this paper we explore the BACI-CEPII database using Network Analysis. From the visualization of the World Trade Network, we define and describe its topology, both in its binary version and in its weighted version, by calculating and discussing a number of the commonly used network statistics. We finally discuss various specific topics that can be studied with Network Analysis and International Trade data, both at the aggregated and at the sectorial level. The analysis is carried out with multiple software (Stata, R and Pajek). The scripts to replicate part of the analysis are included in the appendix and can be used as a hands-on tutorial. Moreover, local and global centrality measures, based on the unweighted and the weighted version of the aggregated World Trade Network, have been calculated for each country (178 in total) and each year (from 1995 to 2010) and can be downloaded from the CEPII webpage.

scholarly journals How the Global Trade Linkages are Evolving? -Insight from Social Network Analysis Based on Global Multi-Regional Input-Output

2021 ◽  
pp. 9-24
Author(s):  
Kaiyao Wu ◽  
Chi Zhou ◽  
Dechun Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Developed Countries ◽  
Global Trade ◽  
Input Output ◽  
Trade Network ◽  
Global Pattern ◽  
The Developed Countries

With the rise and fall of the trade shares of different countries in the world, does the trade network structure change at the same time? Do the dynamics of countries’ positions differ in the evolution of trade network structure? Based on the latest world input-output database (WIOD), this paper illustrates the accounting models of international trade, and describes the dynamics of the global trade network structure and the countries’ positions. Research shows that China and the emerging countries developed faster than the developed countries during 2000-2014, and play important roles, not only in the trade shares, but also in global trade networks. The innovation of this study is that we present a systemic and explicit portrait of the global pattern of trade linkages between countries based on a set of social network analysis methods, and we find that the dynamic of linkage network is more violative than that of linkage flow.

Reconsidering economic leverage and vulnerability: Trade ties, sanction threats, and the success of economic coercion

2018 ◽  
Vol 37 (4) ◽  
pp. 409-429 ◽  
Author(s):  
Timothy M Peterson
Keyword(s):  
Centrality Measures ◽  
Global Trade ◽  
Network Centrality ◽  
Trade Network ◽  
Economic Coercion ◽  
Trade Partners ◽  
Sanction Threats

I contend that a state’s position in the global trade network affects the initiation and outcome of sanction threats. A state is vulnerable, and thus more likely to acquiesce, when its trade has low value to trade partners that are well connected to the global trade network. Conversely, a state has leverage that could motivate the use of sanction threats when its trade has high value to trade partners that are otherwise not well connected. Capturing leverage/vulnerability with an interaction between two network centrality measures, results indicate that vulnerability is associated with acquiescence to sanctions, while leverage is associated with threat initiation.

scholarly journals Visualization of clinical teaching citations using social network analysis

2020 ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Research Network ◽  
Centrality Measures ◽  
Academic Networks ◽  
The Usa ◽  
The Uk

Abstract Background This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 858 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed. Date of publication was limited to 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions Co-authorship between clinicians and medical educator specialists need to be strengthened through research development policies, appropriate academic networks and use of encouraging grants. In addition humanitarian and clinical reasoning need to consider in education of clinical teaching to empower the scientific map from thematic aspects.

scholarly journals Visualization of clinical teaching citations using social network analysis

2021 ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Collaboration ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Knowledge Network ◽  
Research Network ◽  
Centrality Measures ◽  
The Usa

Abstract BackgroundAnalyzing the previous research literature in the filed of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA).Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. ResultsBased on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills.Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

scholarly journals Analysis and visualization of airport network to strengthen the economy

2018 ◽  
Vol 7 (2) ◽  
pp. 708
Author(s):  
Saleena. P ◽  
P. K. Swetha ◽  
D. Radha
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Centrality Measures ◽  
The Usa

The world’s eminent airports are directly or indirectly connected to many other airports. Every airport is considered as a node and the route can be considered as edge connecting them. The work analyzes the USA airport network using different centrality measures of social network analysis. The centrality measures calculated on airport network help in identification of certain characteristics of the airports. Some of the characteristics are like the busiest airport and the airports which influence trade, alternate path, fastest route, nearest airports, etc. The characteristics helps to find the designated airports meant for improving the economy. The results of this paper say about the prominent communication and connections among the airports in the U.S.A. The tools used for the analysis are UCINET 6 and NetDraw. 

scholarly journals Predicting Crisis in Global Trade Network: An Enhanced Decision Tree Based Methods

2019 ◽  
Vol 9 (1S3) ◽  
pp. 314-318
Keyword(s):  
Global Economy ◽  
Sampling Technique ◽  
Global Network ◽  
Centrality Measures ◽  
Global Trade ◽  
Trade Network ◽  
Trade Relations ◽  
Accuracy And Precision ◽  
Machine Learning Model ◽  
Efficient Machine

International Trade Relations represent a natural Social Information Network that has been extensively analyzed for various purposes like monitoring the global economy. The aim is to use the Global Trade Network to predict the occurrence of natural disasters or financial crisis based on the fact that the trade relations tax a hit in their patterns. The Global Network compromises of Export-Import Relations between the countries in the form of a Weighted Social Network. Predicting Trade relations help us effectively predict any future crisis and prepare for the same. An analysis of the Global Trade Network would discuss the centrality measures and Degree strengths. Using a list of crises which has occurred in the past and with the help of an efficient Machine Learning Model and Sampling Technique the aim is to improve the accuracy and precision of our prediction and discuss the implications on the network.

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