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Neighborhoods in Development

Human Development Index and Self-organizing Maps

Bibliographic Data

ID8017408
AuthorsSevinç Rende (0000-0001-5413-6008, Işık University), Murat Donduran (0000-0001-8514-5513, Yıldız Technical University)
Year2011
Volume110
Issue2
Pages721-734
Publication date2011-10-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Indicators Research (JOURNAL)
Journal identifiersISSN: 0303-8300 • E-ISSN: 1573-0921
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11205-011-9955-x
OpenAlexW2040054426
LanguageEN
Citations received7
References cited47

The Human Development Index (HDI) has been instrumental in broadening the discussion of economic development beyond money-metric progress, in particular, by ranking a country against other countries in terms of the well being of their citizens. We propose self-organizing maps to explore similarities among countries using the components of the HDI rather than rankings. The similarities approach using the HDI components reveals information which is not available from ranking or bilateral comparisons. By illustrating clusters of countries, which we call "neighborhoods in development", self-organizing maps draw out the potential for mutual policy learning among countries and shift the focus to discovering what kind of policies might have led countries change their position in the rankings

Economic geography · Economic growth · Economics · Geography · Human development (humanity · Human Development Index · Human geography · Index (typography · Metric (unit · Operations management · Position (finance · Public health · Quality of Life Research · Ranking (information retrieval · Regional science · Complex Systems and Time Series Analysis · Computer Science · Artificial Intelligence

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Unique citing works7
Citations per year0,58
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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