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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal


Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

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Analysis of the scientific collaboration patterns in the Emergy Accounting field: A review of the co-authorship network structure

Journal of Environmental Accounting and Management 1(1) (2013) 1--13 | DOI:10.5890/JEAM.2013.01.001

Gengyuan Liu$^{1}$, Zhifeng Yang$^{1}$, Bin Chen$^{1}$, Sergio Ulgiati$^{2}$

$^{1}$ State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China

$^{2}$ Department of Environmental Sciences, Parthenope University of Naples, Centro Direzionale – Isola C4, 80143 Naples, Italy

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Using Social network analysis techniques, the authors visualize the co-authorship network and provide descriptive statistics regarding the degree to which researchers are embedded in it. The aim of this paper is to point out three issues including: (1) the use and quantification of international bibliographic databases; (2) Social Network Analysis and interpreting merits; and (3) visualization and the analysis of coauthorship networks for co-authorship data. The results showed that there was a strong linear relationship between the number of papers published and an author’s h-index. And the co-author network displayed the following features: with medium connected groups of authors; the network density is low; many sparse ties since there are still observed isolated authors or simple clusters in the network; and a medium propensity to collaborate with co-authors. Such an understanding is a necessary pre-requisite to establish an information flow and collaboration pattern among authors involved in the progress of the emergy accounting field.


This work is supported by the Creative Research Groups of the National Natural Science Foundation of China (No. 51121003), National Key Technology R&D Program (No. 2012BAK30B03), Key Program of National Natural Science Foundation (Nos. 50939001, 41271543) and National Natural Science Foundation of China (Grant No. 41101564).


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