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Erschienen in: Social Network Analysis and Mining 1/2014

01.12.2014 | Original Article

Mathematics education semantic networks

verfasst von: Trazíbulo Henrique, Inácio de Sousa Fadigas, Marcos Grilo Rosa, Hernane Borges de Barros Pereira

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2014

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Abstract

Continuous technological advances have resulted in analysis techniques that can be used in network theory. Topological characterisation, study of cohesion, and analysis of prominence are relevant techniques through which vertices (e.g., words) and their relationships are considered. The goal of this paper is to produce a comparative study on semantic networks based on titles of scientific papers in the field of mathematics education in Portuguese (Brazil) and English to ascertain the topological structure of these semantic networks and to present reflections thereafter concerning the diffusion of mathematics education. The vertices of proposed semantic networks are words with intrinsic meaning belonging to the titles of scientific papers and two words are connected if both belong to the same title. Methods and metrics from social and complex network analysis have been used to develop a diagnosis of the characterisation of this type of semantic network. Within this context, this study could be used to offer support to facilitate the process of diffusing knowledge in specific areas.

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Fußnoten
2
Given a body of words in a given language in a simplified way, Zipf’s Law states that the second highest occurrence of a word is half the frequency of the first, the third is one-third of the first and so forth.
 
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Metadaten
Titel
Mathematics education semantic networks
verfasst von
Trazíbulo Henrique
Inácio de Sousa Fadigas
Marcos Grilo Rosa
Hernane Borges de Barros Pereira
Publikationsdatum
01.12.2014
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2014
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-014-0200-x

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