Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network

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Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network
Authors
A. P. Masucci
A. Kalampokis
Víctor M. Eguíluz
Emilio Hernández-García
Publication date
2015
DOI
10.1007/978-3-662-47238-5_6
Links
Original

Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network - scientific work related to Wikipedia quality published in 2015, written by A. P. Masucci, A. Kalampokis, Víctor M. Eguíluz and Emilio Hernández-García.

Overview

The meaning of a word can be defined as an indefinite set of interpretants, which are other words that circumscribe the semantic content of the word they represent (Derrida 1982). In the same way each interpretant has a set of interpretants representing it and so on. Hence the indefinite chain of meaning assumes a rhizomatic shape that can be represented and analysed via the modern techniques of network theory (Dorogovtsev and Mendes 2013).

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Wikipedia Quality

Masucci, A. P.; Kalampokis, A.; Eguíluz, Víctor M.; Hernández-García, Emilio. (2015). "[[Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-47238-5_6.

English Wikipedia

{{cite journal |last1=Masucci |first1=A. P. |last2=Kalampokis |first2=A. |last3=Eguíluz |first3=Víctor M. |last4=Hernández-García |first4=Emilio |title=Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network |date=2015 |doi=10.1007/978-3-662-47238-5_6 |url=https://wikipediaquality.com/wiki/Semantic_Space_as_a_Metapopulation_System:_Modelling_the_Wikipedia_Information_Flow_Network |journal=Springer, Berlin, Heidelberg}}

HTML

Masucci, A. P.; Kalampokis, A.; Eguíluz, Víctor M.; Hernández-García, Emilio. (2015). &quot;<a href="https://wikipediaquality.com/wiki/Semantic_Space_as_a_Metapopulation_System:_Modelling_the_Wikipedia_Information_Flow_Network">Semantic Space as a Metapopulation System: Modelling the Wikipedia Information Flow Network</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-47238-5_6.