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Modeling on social popularity and achievement: A case study on table tennis

Author

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  • Ma, Yinghong
  • He, Jiaoyang
  • Yu, Qinglin

Abstract

Reputation and fame, two measurements of social popularity, play an increasing important role in the modern society. Reputation is influenced by one’s performance of success, while often divorced from her/his professional achievements. Trying to figure out the relationship between the two measures is crucial for objectively rewarding excellence in all fields, such as entertainment, sports and sciences. Baidu popularity, an index developed by the dominating searching engine company in China, is designed to reflect the reputation of a person in Chinese media and publications. In this paper, Baidu popularity is utilized to quantify the relationship of a person’s social popularity and her/his occupation parameters, such as the career length, the values of tournaments, rankings, etc. Taking table tennis athletes as an example, we quantify the relationship between the success and the Baidu popularity. The data collected from web sites is used to measure the Baidu popularity of athletes. A social popularity model (SPM) is constructed by combining the logarithm of the Baidu popularity and the linear combination of the logarithms of the four observed attributes. Experiments show that the model is effective and robust, and also reveals that performance indicators are the root cause of popularity in many areas of human achievement. The real-world data confirms that the SPM model is a timely and appropriate framework to measure the reputation of table tennis athletes.

Suggested Citation

  • Ma, Yinghong & He, Jiaoyang & Yu, Qinglin, 2019. "Modeling on social popularity and achievement: A case study on table tennis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 235-245.
  • Handle: RePEc:eee:phsmap:v:524:y:2019:i:c:p:235-245
    DOI: 10.1016/j.physa.2019.04.007
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    References listed on IDEAS

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    1. Filippo Radicchi, 2011. "Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-7, February.
    2. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    3. Edward D Ramirez & Stephen J Hagen, 2018. "The quantitative measure and statistical distribution of fame," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-16, July.
    4. Herm, Steffen & Callsen-Bracker, Hans-Markus & Kreis, Henning, 2014. "When the crowd evaluates soccer players’ market values: Accuracy and evaluation attributes of an online community," Sport Management Review, Elsevier, vol. 17(4), pages 484-492.
    5. Steffen Herm & Hans-Markus Callsen-Bracker & Henning Kreis, 2014. "When the crowd evaluates soccer players’ market values: Accuracy and evaluation attributes of an online community," Sport Management Review, Taylor & Francis Journals, vol. 17(4), pages 484-492, October.
    6. Filippo Radicchi, 2012. "Universality, Limits and Predictability of Gold-Medal Performances at the Olympic Games," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
    7. Mukherjee, Satyam, 2014. "Quantifying individual performance in Cricket — A network analysis of batsmen and bowlers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 624-637.
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