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RETRACTION
WITHDRAWN: A PageRank-Based WeChat User Impact Assessment Algorithm
1 Hunan University of Finance and Economics, Changsha, China
2 University Malaysia Sabah, Kota Kinabalu, Malaysia
* Corresponding Author: Tie Lin. Email:
Journal of New Media 2021, 3(3), 89-98. https://doi.org/10.32604/jnm.2021.019519
Received 15 April 2021; Accepted 29 June 2021; Issue published 13 July 2021
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This article has been withdrawn at the request of the editor and publisher. The Tech Science Press Policy on Article Withdrawal can be found at https://www.techscience.com/JNM/info/auth_instru. The publisher regrets that a technical error occurred, which led to the duplicate publication. We apologize to the authors and the readers for this unfortunate error and any inconvenience this may have caused.Keywords
WeChat; influence; PageRank algorithm; WURank algorithm
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APA Style
Wang, Q., Luo, Y., Guo, H., Guo, P., Wei, J. et al. (2021). WITHDRAWN: A PageRank-Based WeChat User Impact Assessment Algorithm. Journal of New Media, 3(3), 89–98. https://doi.org/10.32604/jnm.2021.019519
Vancouver Style
Wang Q, Luo Y, Guo H, Guo P, Wei J, Lin T. WITHDRAWN: A PageRank-Based WeChat User Impact Assessment Algorithm. J New Media. 2021;3(3):89–98. https://doi.org/10.32604/jnm.2021.019519
IEEE Style
Q. Wang, Y. Luo, H. Guo, P. Guo, J. Wei, and T. Lin, “WITHDRAWN: A PageRank-Based WeChat User Impact Assessment Algorithm,” J. New Media, vol. 3, no. 3, pp. 89–98, 2021. https://doi.org/10.32604/jnm.2021.019519
Copyright © 2021 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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