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A dashboard on Google Maps to show the most influential author on the topic of health behavior: A Bibliometric Analysis

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Dispersion of coauthor clusters
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Submitted   Jul 11, 2018
Published   Jul 25, 2018
Issue    Vol 1 (2018)
DOI   10.25082/AHB.2018.01.004

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Tsair-Wei Chien
Medical Research Department, Chi-Mei Medical Center, Tainan, Taiwan
Szu-Hau Chen
Department of Family Medicine, Chi Mei medical center, Tainan, Taiwan
Shih-Bin Su
Department of Leisure, Recreation, and Tourism Management, Southern Taiwan University of Science and Technology, Tainan, Taiwan; Department of Occupational Medicine, Chi-Mei Medical Center, Tainan, Taiwan; Department of Medical Research, Chi Mei Medical Center, Liouying, Tainan, Taiwan
Chen-Ching Tang corresponding author
Department of Family Medicine, Chi Mei medical center, Tainan, Taiwan

Abstract

Background: Health behavior is an action taken by a person to maintain, attain, or regain good health and to prevent illness. As such, health behavior reflects a person's health beliefs and attracts many published papers in academics. However, who is the most influential author(MIA) remains unknown.
Objective: The purpose of this study is to apply the algorithm of between centrality(BC) in social network analysis(SNA) to select the MIA on the topic of health behavior using the visual displays on Google Maps.
Methods: We obtained 3,593 abstracts from Medline based on the keywords of (health[Title]) and (behavior[Title] or behavior [Title]) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were applied to (1)select the MIA using SNA; (2)display the countries/areas distributed for the 1st author in geography, (3) discover the author clusters dispersed on Google Maps, and (4)investigate the keywords dispersed for the cluster related to the MIA on a dashboard. Pajek software was performed to yield the BC for each entity(or say node).
Results: We found that the MIA is Spring, Bonnie(US). All visual representations that are the form of a dashboard can be easily displayed on Google Maps. The most influential country and the keywords are the US and health behavior. Readers are suggested to manipulate them on their own on Google Maps.  
Conclusion: Social network analysis provides wide and deep insight into the relationships with the pattern of international author collaborations. If incorporated with Google Maps, the dashboard can release much more information regarding our interesting topics for us in academics. The research approach using the BC to identify the same author names can be applied to other bibliometric analyses in the future.

Keywords
between centrality, authorship collaboration, Google Maps, social network analysis, health behavior

Article Details

How to Cite
Chien, T.-W., Chen, S.-H., Su, S.-B., & Tang, C.-C. (2018). A dashboard on Google Maps to show the most influential author on the topic of health behavior: A Bibliometric Analysis. Advances in Health and Behavior, 1(1), 17-23. https://doi.org/10.25082/AHB.2018.01.004
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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