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Social network based microblog user behavior analysis

Author

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  • Yan, Qiang
  • Wu, Lianren
  • Zheng, Lan

Abstract

The influence of microblog on information transmission is becoming more and more obvious. By characterizing the behavior of following and being followed as out-degree and in-degree respectively, a microblog social network was built in this paper. It was found to have short diameter of connected graph, short average path length and high average clustering coefficient. The distributions of out-degree, in-degree and total number of microblogs posted present power-law characters. The exponent of total number distribution of microblogs is negatively correlated with the degree of each user. With the increase of degree, the exponent decreases much slower. Based on empirical analysis, we proposed a social network based human dynamics model in this paper, and pointed out that inducing drive and spontaneous drive lead to the behavior of posting microblogs. The simulation results of our model match well with practical situation.

Suggested Citation

  • Yan, Qiang & Wu, Lianren & Zheng, Lan, 2013. "Social network based microblog user behavior analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1712-1723.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:7:p:1712-1723
    DOI: 10.1016/j.physa.2012.12.008
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    References listed on IDEAS

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    3. Yufei Liu & Dechang Pi & Lin Cui, 2017. "Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo," Complexity, Hindawi, vol. 2017, pages 1-16, December.
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    5. Yuan, Wei-Guo & Liu, Yun, 2015. "A mixing evolution model for bidirectional microblog user networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 167-179.
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    7. Li, Kai & Lv, Tianyang & Shen, Huawei & Qiao, Lisheng & Chen, Enhong & Cheng, Xueqi & Sun, Zhi, 2020. "An empirical analysis on the behavioral differentia of the “Elite-Civilian” users in Sina microblog," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
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