Research on Visual Analysis of Big Data Based on CiteSpace III

Xuehong ZHANG

Abstract


This paper makes visual analysis on big data retrieval literature by using the information visualization tool CiteSpace III and the Web of Science™ core collection as data sources. The spatial and temporal distribution, research focus, major fields of study, research fronts and evolution paths on the research field of big data were analyzed by knowledge maps and literature research. The results of the research show that the research focus in the future may include Hadoop Distributed File System, Hadoop Database, performance evaluation and medical research.


Keywords


Big data; CiteSpace III; Research focus; Evolution paths; Visualization

Full Text:

PDF

References


Almalki, M., Gray, K., & Sanchez, F. M. (2015). The use of self-quantification systems for personal health information: big data management activities and prospects. Health Inf Sci Syst, 3(Suppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con): S1.

Anderson, J. E., & Chang, D. C. (2015). Using electronic health records for surgical quality improvement in the era of big data. JAMA Surgery, 150(1), 24-29.

Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.

Colleoni, E., Rozza, A., & Arvidsson, A. (2014). Echo chamber or public sphere predicting political orientation and measuring political homophily in twitter using big data. Journal of Communication, 64(2), 317-332.

Dean, J., & Ghemawat, S. (2008). MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 107-113.

Feng, Z. Y., & Guo, X. H., et al. (2013). On the research frontiers of business management in the context of big data. Journal of Management Sciences in China, (01), 1-9.

Fridley, B. L., Koeslter, D. C., & Godwin, A. K. (2014). Individualizing care for ovarian cancer patients using big data. Journal of the National Cancer Institute, 106(5), dju080.

Ge, B., Ge, S., & Minard, T. (2014). Visualizations make big data meaningful. Communications of the ACM, 57(6).

Hashem, I. A. T., Yaqoob, I., & Anuar, N. B., et al. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Hazen, B. T., Boone, C. A., & Ezell, J. D., et al. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.

Howe, D., Costanzo, M., & Fey, P., et al. (2008). Big data: The future of biocuration. Nature, 455(7209), 47-50.

Kwon, O., et al. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387-394.

Leveling. J., Edelbrock, M., & Otto, B. (2014). Big data analytics for supply chain management (pp.918-922). Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on. IEEE.

Li, X. L. (2015). A survey on big data systems. SCIENTIA SINICA Informationis, (01), 1-44.

Li, F., Ooi, B. C. O., & Zsu, M. T., et al. (2014). Distributed data management using MapReduce. ACM Computing Surveys (CSUR), 46(3), 31.

Lohr, S. (2012). The age of big data. New York Times, p.11.

Lynch, C. (2008). Big data: How do your data grow? Nature, 455(7209), 28-29.

Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.

Mcafee, A., Brynjolfsson, E., & Davenport, T. H., et al. (2012). Big data: The management revolution. Harvard Bus Rev., 90(10), 61-67.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems, 2(1), 3.

Saha, B., & Srivastava, D. (2014). Data quality: The other face of big data (pp.1294-1297). Data Engineering (ICDE), 2014 IEEE 30th International Conference on. IEEE

Shivhare, H., Mishra, N., & Sharma, S. (2013). Cloud computing and big data (pp.222-225). Proceedings of 2013 International Conference on Cloud, Big Data and Trust.

Shneiderman, B., Plaisant, C., & Hesse, B. W. (2013). Improving health and healthcare with interactive visualization methods. HCIL Technical Report.

Tang, J., & Chen, W. G. (2015). Deep analytics and mining for big social data. Chinese Science Bulletin, 60(5/6), 509-519.

Wang, B. L. (2015). Research on big data based on scientometrics and visualization analysis. Journal of Intelligence, 34(2), 131-136.

Yu, Y., & Wang, X. (2015). World cup 2014 in the twitter world: A big data analysis of sentiments in U.S. sports fans’ tweets. Computers in Human Behavior, 48, 392-400.




DOI: http://dx.doi.org/10.3968/n

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Xuehong Zhang

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures