Proceedings of the 2013 International Conference on the Modern Development of Humanities and Social Science

International Scientific Collaboration in Research of Depression based on Social Network Analysis

Authors
Ying Wu, Zhiguang Duan
Corresponding Author
Ying Wu
Available Online December 2013.
DOI
https://doi.org/10.2991/mdhss-13.2013.103How to use a DOI?
Keywords
depression, collaboration, SNA
Abstract
Background: Depression is harmful to human health and effecting social life seriously and still brings a heavy burden for countries all over the world. Scientific collaboration has become the indispensable choice for progress in the biomedicine field. However, there have been few scientific publications on scientific collaboration in depression research so far. The aim of this study was to measure the activities of scientific collaboration at the level of authors, institutions and countries in depression research. Methods: There were 127676 records about depression retrieved from science Citation Index Expanded (SCI-Expanded) of web of science. Additionally, some methods such as social network analysis (SNA), centrality analysis were used in this study. Results: Collaboration has been increasing at the level of authors, institutions and countries in depression in recent ten years. We selected the top 100 prolific authors, institutions and countries to construct collaborative map respectively. Rush,AJ and Fava,M were the central authors ,Harvard university was the central institution and America was the central country of the whole network in terms of the three kinds of centralities. The rate of economic development in countries affected collaborative behavior. Conclusion: Based on the results, we should encouraged multiple collaboration types in depression research which not only help researchers to master the forefront research hotspots but also provide scientific basis for clinical research on depression and reasonable suggestions to make policies in order to promote the development of this area.
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Proceedings
2013 International Conference on the Modern Development of Humanities and Social Science
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-90-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/mdhss-13.2013.103How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying Wu
AU  - Zhiguang Duan
PY  - 2013/12
DA  - 2013/12
TI  - International Scientific Collaboration in Research of Depression based on Social Network Analysis
BT  - 2013 International Conference on the Modern Development of Humanities and Social Science
PB  - Atlantis Press
SP  - 390
EP  - 395
SN  - 1951-6851
UR  - https://doi.org/10.2991/mdhss-13.2013.103
DO  - https://doi.org/10.2991/mdhss-13.2013.103
ID  - Wu2013/12
ER  -