New Centrality Measures in Networks and their Applications to the International Trade and Migration Networks

Aleskerov, Fuad; Roman, Alina; Rezyapova, Anna; Yakuba, Vyacheslav

doi:10.1109/mascots50786.2020.9285957

2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2020

DOI: 10.1109/mascots50786.2020.9285957

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New Centrality Measures in Networks and their Applications to the International Trade and Migration Networks

Fuad Aleskerov

Alina Roman

Anna Rezyapova

et al.

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2024

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Cited by 2 publications

References 7 publications

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The complex network patterns of human migration at different geographical scales: network science meets regression analysis

Pitoski,

Meštrović,

Schmeets

2024

Appl Netw Sci

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Migration’s influence in shaping population dynamics in times of impending climate and population crises exposes its crucial role in upholding societal cohesion. As migration impacts virtually all aspects of life, it continues to require attention across scientific disciplines. This study aims to bridge the gap between theoretical understanding and practical application by integrating network analysis and regression methodologies within Migration Studies. In the study we employ network analysis to elucidate migration patterns at various geographical scales-city, country, and global. Additionally, regression analysis is discussed on an exploratory level, where we focus on the underlying factors driving migration, and identifying the key independent variables to enhance predictive accuracy. The study exposes distinct migration network structure and its features, and the consequences these have on conventional regression analysis applications. We conclude on the importance of methodological coherence and disciplinary integration, and highlight the avenues for enhancing the predictive power of migration models.

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The complex network patterns of human migration at different geographical scales: network science meets regression analysis

Pitoski,

Meštrović,

Schmeets

2024

Appl Netw Sci

View full text Add to dashboard Cite

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Endirekt Merkeziyet Ölçüm Endeksleri ile Uluslararası Ticaret Ağında Güç Analizi

KARABULUT

Çınar

2022

Cankiri Karatekin Universitesi Iktisadi Ve Idari Bilimler Fakultesi Dergisi

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Ağ yapılarında güç ya da merkeziyet analizi hakkındaki araştırmalar her geçen gün daha önemli hale gelmektedir. Bu çalışmanın da temel amacı, güncel verilerle ülkelerarası ticaret ağ yapısında farklı endeksler bazında merkezi gücü kendinde toplayan ülkelerin ortaya çıkarılmasıdır. Ağ yapılarında güç ölçümü yapılabilmesi için doğrudan ilişkilerin etkisini hesaplayan merkezilik ölçütlerinin (Direkt Etki Hesaplama Yöntemleri) yanı sıra dolaylı ilişkileri de hesaba katan ve klasik merkezilik endeksleri tarafından göz önünde bulundurulmayan etkileşim yoğunluklarını hesaplamaya dahil eden merkezilik endeksleri (Endirekt Etki Hesaplama Yöntemleri) geliştirilmiştir. Bu çalışmanın temel problemi geliştirilen merkeziyet endekslerinin, özellikle de merkezilik ölçütleri literatüründeki en yeni ölçütler olan ve sınırlı uygulama literatürü bulunan Endirekt Etki Hesaplama Yöntemlerinin, uluslararası ticaret ağı üzerinde uygulanabilirliğinin araştırılması ve farklı ölçütlere göre elde edilen sonuçların karşılaştırılmasıdır.

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New Centrality Measures in Networks and their Applications to the International Trade and Migration Networks

Cited by 2 publications

References 7 publications

The complex network patterns of human migration at different geographical scales: network science meets regression analysis

The complex network patterns of human migration at different geographical scales: network science meets regression analysis

Endirekt Merkeziyet Ölçüm Endeksleri ile Uluslararası Ticaret Ağında Güç Analizi

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