scholarly journals On the topological properties of the world trade web: A weighted network analysis

2008 ◽  
Vol 387 (15) ◽  
pp. 3868-3873 ◽  
Author(s):  
Giorgio Fagiolo ◽  
Javier Reyes ◽  
Stefano Schiavo
Keyword(s):  
Network Analysis ◽  
World Trade ◽  
Topological Properties ◽  
Weighted Network ◽  
The World ◽  
Weighted Network Analysis

The evolution of the world trade web: a weighted-network analysis

2009 ◽  
Vol 20 (4) ◽  
pp. 479-514 ◽  
Author(s):  
Giorgio Fagiolo ◽  
Javier Reyes ◽  
Stefano Schiavo
Keyword(s):  
Network Analysis ◽  
World Trade ◽  
Weighted Network ◽  
The World ◽  
Weighted Network Analysis

scholarly journals Randomizing world trade. II. A weighted network analysis

2011 ◽  
Vol 84 (4) ◽  
Author(s):  
Tiziano Squartini ◽  
Giorgio Fagiolo ◽  
Diego Garlaschelli
Keyword(s):  
Network Analysis ◽  
World Trade ◽  
Weighted Network ◽  
Weighted Network Analysis

scholarly journals A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0249846
Author(s):  
Ishaan Batta ◽  
Qihang Yao ◽  
Kaeser M. Sabrin ◽  
Constantine Dovrolis
Keyword(s):  
Network Analysis ◽  
Analysis Framework ◽  
Weighted Network ◽  
Motor Pathways ◽  
Major Aspect ◽  
C Elegans ◽  
The Core ◽  
Network Patterns ◽  
Weighted Network Analysis ◽  
New Framework

Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been developed for the purpose of quantitatively analyzing whether only a few intermediate nodes mediate the information processing between a large number of inputs and outputs of a network. We develop a new framework for hourglass analysis that takes network weights into account while identifying the core nodes and the extent of hourglass effect in a given weighted network. We use this framework to study the structural connectome of the C. elegans and identify intermediate neurons that form the core of sensori-motor pathways in the organism. Our results show that the neurons forming the core of the connectome show significant differences across the male and hermaphrodite sexes, with most core nodes in the male concentrated in sex-organs while they are located in the head for the hermaphrodite. Our work demonstrates that taking weights into account for network analysis framework leads to emergence of different network patterns in terms of identification of core nodes and hourglass structure in the network, which otherwise would be missed by unweighted approaches.

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.

A Weighted Network Analysis of User Migrations in a Social Network

2018 ◽  
Author(s):  
Malith Senaweera ◽  
Ruwanmalee Dissanayake ◽  
Nuwini Chamindi ◽  
Anupa Shyamalal ◽  
Charith Elvitigala ◽  
...  
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Weighted Network ◽  
Weighted Network Analysis

scholarly journals Analysing EU Treaty-Making and Litigation With Network Analysis and Natural Language Processing

2021 ◽  
Vol 9 ◽  
Author(s):  
Michal Ovádek ◽  
Arthur Dyevre ◽  
Kyra Wigard
Keyword(s):  
Network Analysis ◽  
Language Processing ◽  
World Trade ◽  
Topic Modeling ◽  
Competition Law ◽  
International Agreements ◽  
The World ◽  
World Trade Organization Agreement ◽  
Modeling Techniques ◽  
The Many

We apply network analysis and topic modeling techniques to explore the evolution of the European Union's treaty making activity and the patterns of litigation they have given rise to. Our analysis reveals that, despite the expansion of the bloc's policy remit, its treaty-making activity retains a strong economic focus. Among the many agreements negotiated by EU institutions, the European Economic Agreement, the Ankara Agreement with Turkey and the World Trade Organization Agreement form the largest clusters of litigated cases. EU international agreements are disproportionately litigated in cases pertaining to residence rights and competition law.

scholarly journals A Weighted Network Analysis Framework for the Hourglass Effect — and its Application in the C. Elegans Connectome

2021 ◽  
Author(s):  
Ishaan Batta ◽  
Qihang Yao ◽  
Kaeser M. Sabrin ◽  
Constantine Dovrolis
Keyword(s):  
Network Analysis ◽  
Analysis Framework ◽  
Weighted Network ◽  
Motor Pathways ◽  
Major Aspect ◽  
C Elegans ◽  
The Core ◽  
Network Patterns ◽  
Weighted Network Analysis ◽  
New Framework

ABSTRACTUnderstanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been developed for the purpose of quantitatively analyzing whether only a few intermediate nodes mediate the information processing between a large number of inputs and outputs of a network. We develop a new framework for hourglass analysis that takes network weights into account while identifying the core nodes and the extent of hourglass effect in a given weighted network. We use this framework to study the structural connectome of theC. elegansand identify intermediate neurons that form the core of sensori-motor pathways in the organism. Our results show that the neurons forming the core of the connectome show significant differences across the male and hermaphrodite sexes, with most core nodes in the male concentrated in sex-organs while they are located in the head for the hermaphrodite. Our work demonstrates that taking weights into account for network analysis framework leads to emergence of different network patterns in terms of identification of core nodes and hourglass structure in the network, which otherwise would be missed by unweighted approaches.

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