Difference between revisions of "Multi-Cultural Wikipedia Mining of Geopolitics Interactions Leveraging Reduced Google Matrix Analysis"
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| + | | title = Multi-Cultural Wikipedia Mining of Geopolitics Interactions Leveraging Reduced Google Matrix Analysis | ||
| + | | date = 2017 | ||
| + | | authors = [[Klaus M. Frahm]]<br />[[Samer El Zant]]<br />[[Katia Jaffrès-Runser]]<br />[[Dima L. Shepelyansky]] | ||
| + | | doi = 10.1016/j.physleta.2017.06.021 | ||
| + | | link = http://www.sciencedirect.com/science/article/pii/S0375960116321879 | ||
| + | | plink = http://arxiv.org/pdf/1612.07920.pdf | ||
| + | }} | ||
'''Multi-Cultural Wikipedia Mining of Geopolitics Interactions Leveraging Reduced Google Matrix Analysis''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Klaus M. Frahm]], [[Samer El Zant]], [[Katia Jaffrès-Runser]] and [[Dima L. Shepelyansky]]. | '''Multi-Cultural Wikipedia Mining of Geopolitics Interactions Leveraging Reduced Google Matrix Analysis''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Klaus M. Frahm]], [[Samer El Zant]], [[Katia Jaffrès-Runser]] and [[Dima L. Shepelyansky]]. | ||
== Overview == | == Overview == | ||
Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of [[Wikipedia]] mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). Authors mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced [[Google]] matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Authors study concentrates on 40 major countries chosen worldwide. Authors aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. Authors demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest. | Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of [[Wikipedia]] mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). Authors mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced [[Google]] matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Authors study concentrates on 40 major countries chosen worldwide. Authors aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. Authors demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest. | ||
Revision as of 00:17, 12 October 2019
Authors | Klaus M. Frahm Samer El Zant Katia Jaffrès-Runser Dima L. Shepelyansky |
|---|---|
Publication date | 2017 |
DOI | 10.1016/j.physleta.2017.06.021 |
Links | Original Preprint |
Multi-Cultural Wikipedia Mining of Geopolitics Interactions Leveraging Reduced Google Matrix Analysis - scientific work related to Wikipedia quality published in 2017, written by Klaus M. Frahm, Samer El Zant, Katia Jaffrès-Runser and Dima L. Shepelyansky.
Overview
Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of Wikipedia mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). Authors mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced Google matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Authors study concentrates on 40 major countries chosen worldwide. Authors aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. Authors demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest.
