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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Goritz, A., Kolleck, N. & Jörgens, H. (2019). Education for sustainable development and climate change education: the potential of social network analysis based on twitter data. Sustainability. 11 (19)
Exportar Referência (IEEE) 
A. Goritz et al.,  "Education for sustainable development and climate change education: the potential of social network analysis based on twitter data", in Sustainability, vol. 11, no. 19, 2019
Exportar BibTeX 
@article{goritz2019_1713445929122,
	author = "Goritz, A. and Kolleck, N. and Jörgens, H.",
	title = "Education for sustainable development and climate change education: the potential of social network analysis based on twitter data",
	journal = "Sustainability",
	year = "2019",
	volume = "11",
	number = "19",
	doi = "10.3390/su11195499",
	url = "https://www.mdpi.com/2071-1050/11/19/5499"
}
Exportar RIS 
TY  - JOUR
TI  - Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
T2  - Sustainability
VL  - 11
IS  - 19
AU  - Goritz, A.
AU  - Kolleck, N.
AU  - Jörgens, H.
PY  - 2019
SN  - 2071-1050
DO  - 10.3390/su11195499
UR  - https://www.mdpi.com/2071-1050/11/19/5499
AB  - Education is considered as an essential tool for achieving sustainability-related goals. In this regard, Education for Sustainable Development (ESD) and Climate Change Education (CCE) have become prominent concepts. Central characteristics of both concepts influence the non-hierarchical network governance structure that has formed around them: (1) their international origin, (2) the conceptual ambiguity that surrounds them, and (3) the limited implementing power of international organizations, who developed these concepts. Hence, networks are essential to ESD and CCE, however, only few studies have used Social Network Analysis (SNA) techniques to analyze their governance structure. The aim of this article is to illustrate how to use SNA, based on Twitter data, as an approach to examine the governance structure that has developed around ESD and CCE. We conduct an illustrative SNA, using Twitter data during three global climate change summits (2015-2017) to examine CCE-specific debates and identify actors exerting the most influence. We find that international organizations and international treaty secretariats are most influential across all years of the analysis and moreover, are represented most often. These findings show that using SNA based on Twitter data offers promising possibilities to better understand the governance structure and processes around both concepts. 
ER  -