Open Access Peer-reviewed Research Article

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

Main Article Content

Tsair-Wei Chien
Szu-Hau Chen
Shih-Bin Su
Chen-Ching Tang corresponding author


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.

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.


  1. Haileamlak A. What Factors Affect Health Seeking Behavior? Ethiop J Health Sci, 2018,28(2):110.
  2. Bauer NS, Sullivan PD, Szczepaniak D, et al.Attention Deficit-Hyperactivity Disorder Group Visits Improve Parental Emotional Health and Perceptions of Child Behavior. J Dev Behav Pediatr, 2018 Jun 4. [Epub ahead of print]
  3. Domingos p. A few useful things to know about machine learning. Communications of the ACM, 2012, 55(10):78- 87.
  4. Verhoef PC, Erfanmanesh,Walk N. Creating Value with Big Data Analytics: Making Smarter Marketing Decisions. London: Routledge, 2016.
  5. Power DJ. What is the ”true story” about data mining, beer and diapers? DSS News. 2017/3/20 available at
  6. Morris MA, Saboury B, Burkett B, et al. Reinventing Radiology: Big Data and the Future of Medical Imaging. J Thorac Imaging, 2018, 33(1):4-16.
  7. Sadoughi F, Valinejadi A, Shirazi MS, et al. Social Network Analysis of Iranian Researchers on Medical Parasitology: A 41 Year Co-Authorship Survey.Iran J Parasitol, 2016, 11(2):204-212.
  8. Osareh F, Khademi R, Rostami MK, et al. Co-authorship Network Structure Analysis of Iranian Researchers scientific outputs from 1991 to 2013 based on the Social Science Citation Index (SSCI). Collnet J Scientometr Info Manag, 2014, 8(2): 263-271.
  9. Liu X, Bollen J, Nelson ML, et al. Coauthorship networks in the digital library research community. Info Process Manag, 2005, 41(6): 1462-1480.
  10. Shen L, Xiong B, Li W, et al. Visualizing Collaboration Characteristics and Topic Burst on International Mobile Health Research: Bibliometric Analysis.JMIR Mhealth Uhealth, 2018, 6(6):e135.
  11. Dasgupta S, Vaughan AS, Kramer MR, et al. Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative to Geocoded Address Data?JMIR Res Protoc, 2014, 3(2):e24.
  12. Kobayashi S, Fujioka T, Tanaka Y, et al. A geographical information system using the Google Map API for guidance to referral hospitals. J Med Syst, 2010, 34(6):1157-1160.
  13. Freeman LC. Centrality in social networks conceptual clarification. Soc Networks, 1979, 1(3):215-239.
  14. Otte E, Rousseau R. Social network analysis: a powerful strategy, also for the information sciences. J Inform Sci, 2002, 28(6):441-453.
  15. Bright CF, Haynes EE, Patterson D, et al. The Value of Social Network Analysis for Evaluating Academic- Community Partnerships and Collaborations for Social Determinants of Health Research. Ethn Dis, 2017, 27(Suppl 1):337- 346.
  16. de Nooy W, Mrvar A, Batagelj V. Exploratory Social Network AnalysisWith Pajek: Revised and Expanded, 2nd edn. New York, NY: Cambridge University Press, 2011.
  17. Phan TG, Beare R, Chen J, et al. Googling Service Boundaries for Endovascular Clot Retrieval Hub Hospitals in a Metropolitan Setting: Proof-of-Concept Study. Stroke, 2017, 48(5):1353-1361.
  18. Chien TW. Google Maps on health behavior for authors. 2018/7/1 available at
  19. Chien TW. Google Maps on health behavior for author nations. 2018/7/1 available at
  20. Chien TW. Google Maps on health behavior for MESH terns. 2018/7/1
  21. Leydesdorff L, Wagner C, Park HW, Adams J.International collaboration in science: the global map and the network. CoRR abs/1301.0801 (2013)
  22. Glnzel W, Schlemmer B. National research profiles in a changing Europe (19832003) An exploratory study of sectoral characteristics in the Triple Helix. Scientometrics, 2007, 70(2):267-275.
  23. Erfanmanesh MA, Rohani VA, Basirian Jahromi R, et al. Investigating Scientific Collaboration of Iranian Psychology and Psychiatry Researchers. J Info Process Manag, 2013, 29(1):137-163.
  24. Osareh F, Norouzi Chakoli A, et al. Co-authorship of Iranian researchers in science, social science, art and humanities citation indexes in the web of science between 2000 and 2006. J Info Sci Technol, 2010, 25(4):573-595.
  25. Hu SK, Huang J, Hong WD, et al. The 50 Most-cited Articles in Gastroenterology and Hepatology from Mainland China.Pak J Med Sci,2017, 33(1):215-220.
  26. Coelho DH, Edelmayer LW, Fenton JE. A century of citation classics in otolaryngology-head and neck surgery journals revisited. Laryngoscope, 2014, 124(6):1358-1362.
  27. Chang HT, Lin MH, Hwang IH, et al. Scientific publications in gastroenterology and hepatology in Taiwan: An analysis of Web of Science from 1993 to 2013.J Chin Med Assoc, 2017, 80(2):80-85.
  28. Borgatti SP, Everett MG, Freeman LC. Ucinet forWindows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies 2002.
  29. Bastian M, Heymann S, Jacomy M. Gephi: an open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media, 2009.