中国物理B ›› 2021, Vol. 30 ›› Issue (12): 128901-128901.doi: 10.1088/1674-1056/ac05ac

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Evolution mechanism of Weibo top news competition

Fuzhong Nian(年福忠), Jingzhou Li(李经洲), and Xin Guo(郭鑫)   

  1. School of Computer & Communication, Lanzhou University of Technology, Lanzhou 730050, China
  • 收稿日期:2021-03-08 修回日期:2021-05-06 接受日期:2021-05-27 出版日期:2021-11-15 发布日期:2021-11-23
  • 通讯作者: Fuzhong Nian E-mail:gdnfz@lut.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61863025).

Evolution mechanism of Weibo top news competition

Fuzhong Nian(年福忠), Jingzhou Li(李经洲), and Xin Guo(郭鑫)   

  1. School of Computer & Communication, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2021-03-08 Revised:2021-05-06 Accepted:2021-05-27 Online:2021-11-15 Published:2021-11-23
  • Contact: Fuzhong Nian E-mail:gdnfz@lut.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61863025).

摘要: In a certain period, some news will compete for the top news to gain the most attention and influence, and more news will be submerged in the ocean of news and become mediocre. This article deeply studies the evolution process and competition mechanism of the dissemination of Weibo news. In this paper, we innovatively propose a pre-processing scheme for traditional small-world networks and scale-free networks and divide nodes into three roles:fans, passersby, and anti-fans. The competition mechanism of Weibo top news is defined from the aspects of node role and node aggregation degree. A network evolution model is established based on the competition mechanism. The propagation characteristics of the network evolution model are deeply analyzed, and simulation experiments are performed on the small-world network and the scale-free network. Finally, the validity and rationality of the new model are verified through comparative experiments, and a feasible scheme for the propagation of top news on Weibo is given.

关键词: Weibo, top news, role, interest degree

Abstract: In a certain period, some news will compete for the top news to gain the most attention and influence, and more news will be submerged in the ocean of news and become mediocre. This article deeply studies the evolution process and competition mechanism of the dissemination of Weibo news. In this paper, we innovatively propose a pre-processing scheme for traditional small-world networks and scale-free networks and divide nodes into three roles:fans, passersby, and anti-fans. The competition mechanism of Weibo top news is defined from the aspects of node role and node aggregation degree. A network evolution model is established based on the competition mechanism. The propagation characteristics of the network evolution model are deeply analyzed, and simulation experiments are performed on the small-world network and the scale-free network. Finally, the validity and rationality of the new model are verified through comparative experiments, and a feasible scheme for the propagation of top news on Weibo is given.

Key words: Weibo, top news, role, interest degree

中图分类号:  (Networks and genealogical trees)

  • 89.75.Hc
89.75.Fb (Structures and organization in complex systems) 64.60.aq (Networks)