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'''Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix''' - scientific work related to Wikipedia quality published in 2018, written by Samer El Zant, Katia Jaffrès-Runser and Dima L. Shepelyansky.
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{{Infobox work
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| title = Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix
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| date = 2018
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| authors = [[Samer El Zant]]<br />[[Katia Jaffrès-Runser]]<br />[[Dima L. Shepelyansky]]
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| doi = 10.1371/journal.pone.0201397
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| link = https://link.springer.com/content/pdf/10.1007%2Fs00500-018-3101-5.pdf
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| plink = http://arxiv.org/pdf/1803.05336.pdf
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}}
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'''Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Samer El Zant]], [[Katia Jaffrès-Runser]] and [[Dima L. Shepelyansky]].
  
 
== Overview ==
 
== Overview ==
Interactions between countries originate from diverse aspects such as geographic proximity, trade, socio-cultural habits, language, religions, etc. Geopolitics studies the influence of a country's geographic space on its political power and its relationships with other countries. This work reveals the potential of Wikipedia mining for geopolitical study. Actually, Wikipedia offers solid knowledge and strong correlations among countries by linking web pages together for different types of information (e.g. economical, historical, political, and many others). The major finding of this paper is to show that meaningful results on the influence of country ties can be extracted from the hyperlinked structure of Wikipedia. Authors leverage a novel stochastic matrix representation of Markov chains of complex directed networks called the reduced Google matrix theory. For a selected small size set of nodes, the reduced Google matrix concentrates direct and indirect links of the million-node sized Wikipedia network into a small Perron-Frobenius matrix keeping the PageRank probabilities of the global Wikipedia network. Authors perform a novel sensitivity analysis that leverages this reduced Google matrix to characterize the influence of relationships between countries from the global network. Authors apply this analysis to two chosen sets of countries (i.e. the set of 27 European Union countries and a set of 40 top worldwide countries). Authors show that with sensitivity analysis authors can exhibit easily very meaningful information on geopolitics from five different Wikipedia editions (English, Arabic, Russian, French and German).
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Interactions between countries originate from diverse aspects such as geographic proximity, trade, socio-cultural habits, language, religions, etc. Geopolitics studies the influence of a country's geographic space on its political power and its relationships with other countries. This work reveals the potential of [[Wikipedia]] mining for geopolitical study. Actually, Wikipedia offers solid knowledge and strong correlations among countries by linking web pages together for different types of information (e.g. economical, historical, political, and many others). The major finding of this paper is to show that meaningful results on the influence of country ties can be extracted from the hyperlinked structure of Wikipedia. Authors leverage a novel stochastic matrix representation of Markov chains of complex directed networks called the reduced [[Google]] matrix theory. For a selected small size set of nodes, the reduced Google matrix concentrates direct and indirect links of the million-node sized Wikipedia network into a small Perron-Frobenius matrix keeping the PageRank probabilities of the global Wikipedia network. Authors perform a novel sensitivity analysis that leverages this reduced Google matrix to characterize the influence of relationships between countries from the global network. Authors apply this analysis to two chosen sets of countries (i.e. the set of 27 European Union countries and a set of 40 top worldwide countries). Authors show that with sensitivity analysis authors can exhibit easily very meaningful information on geopolitics from five different Wikipedia editions (English, Arabic, Russian, French and German).
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== Embed ==
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=== Wikipedia Quality ===
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Zant, Samer El; Jaffrès-Runser, Katia; Shepelyansky, Dima L.. (2018). "[[Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix]]". Public Library of Science (PLoS). DOI: 10.1371/journal.pone.0201397.
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=== English Wikipedia ===
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{{cite journal |last1=Zant |first1=Samer El |last2=Jaffrès-Runser |first2=Katia |last3=Shepelyansky |first3=Dima L. |title=Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix |date=2018 |doi=10.1371/journal.pone.0201397 |url=https://wikipediaquality.com/wiki/Capturing_the_Influence_of_Geopolitical_Ties_from_Wikipedia_with_Reduced_Google_Matrix |journal=Public Library of Science (PLoS)}}
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=== HTML ===
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Zant, Samer El; Jaffrès-Runser, Katia; Shepelyansky, Dima L.. (2018). &amp;quot;<a href="https://wikipediaquality.com/wiki/Capturing_the_Influence_of_Geopolitical_Ties_from_Wikipedia_with_Reduced_Google_Matrix">Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix</a>&amp;quot;. Public Library of Science (PLoS). DOI: 10.1371/journal.pone.0201397.
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[[Category:Scientific works]]
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[[Category:English Wikipedia]]
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[[Category:German Wikipedia]]
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[[Category:French Wikipedia]]
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[[Category:Russian Wikipedia]]
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[[Category:Arabic Wikipedia]]

Latest revision as of 11:36, 7 September 2019


Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix
Authors
Samer El Zant
Katia Jaffrès-Runser
Dima L. Shepelyansky
Publication date
2018
DOI
10.1371/journal.pone.0201397
Links
Original Preprint

Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix - scientific work related to Wikipedia quality published in 2018, written by Samer El Zant, Katia Jaffrès-Runser and Dima L. Shepelyansky.

Overview

Interactions between countries originate from diverse aspects such as geographic proximity, trade, socio-cultural habits, language, religions, etc. Geopolitics studies the influence of a country's geographic space on its political power and its relationships with other countries. This work reveals the potential of Wikipedia mining for geopolitical study. Actually, Wikipedia offers solid knowledge and strong correlations among countries by linking web pages together for different types of information (e.g. economical, historical, political, and many others). The major finding of this paper is to show that meaningful results on the influence of country ties can be extracted from the hyperlinked structure of Wikipedia. Authors leverage a novel stochastic matrix representation of Markov chains of complex directed networks called the reduced Google matrix theory. For a selected small size set of nodes, the reduced Google matrix concentrates direct and indirect links of the million-node sized Wikipedia network into a small Perron-Frobenius matrix keeping the PageRank probabilities of the global Wikipedia network. Authors perform a novel sensitivity analysis that leverages this reduced Google matrix to characterize the influence of relationships between countries from the global network. Authors apply this analysis to two chosen sets of countries (i.e. the set of 27 European Union countries and a set of 40 top worldwide countries). Authors show that with sensitivity analysis authors can exhibit easily very meaningful information on geopolitics from five different Wikipedia editions (English, Arabic, Russian, French and German).

Embed

Wikipedia Quality

Zant, Samer El; Jaffrès-Runser, Katia; Shepelyansky, Dima L.. (2018). "[[Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix]]". Public Library of Science (PLoS). DOI: 10.1371/journal.pone.0201397.

English Wikipedia

{{cite journal |last1=Zant |first1=Samer El |last2=Jaffrès-Runser |first2=Katia |last3=Shepelyansky |first3=Dima L. |title=Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix |date=2018 |doi=10.1371/journal.pone.0201397 |url=https://wikipediaquality.com/wiki/Capturing_the_Influence_of_Geopolitical_Ties_from_Wikipedia_with_Reduced_Google_Matrix |journal=Public Library of Science (PLoS)}}

HTML

Zant, Samer El; Jaffrès-Runser, Katia; Shepelyansky, Dima L.. (2018). &quot;<a href="https://wikipediaquality.com/wiki/Capturing_the_Influence_of_Geopolitical_Ties_from_Wikipedia_with_Reduced_Google_Matrix">Capturing the Influence of Geopolitical Ties from Wikipedia with Reduced Google Matrix</a>&quot;. Public Library of Science (PLoS). DOI: 10.1371/journal.pone.0201397.