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基于PageRank算法的微博用户影响力度量模型存在着“与粉丝数量相关度过高”和“未考虑用户的个人传播意愿”两大不足。为此通过综合用户个人的传播能力和传播意愿两大维度,同时在模型中引入时间变量,提出了微博用户影响力动态度量(UI)模型。研究结论表明:(1)基于UI模型的影响力值不再与粉丝数量相关;(2)微博网络用户行为具有同好性,且传播能力的时间间隔服从幂律分布;(3)UI模型具有较好的实时性及收敛性。
The PageRank algorithm based on Weibo users’ influence measurement model has two major problems: “high correlation with the number of fans” and “not considering the user’s intention of personal communication”. Therefore, by combining the two dimensions of individual user’s communication ability and communication intention, the time variable is introduced into the model, and a dynamic user interface (UI) model is proposed. The research results show that: (1) UI-based model’s influence value is no longer related to the number of fans; (2) Weibo network user behavior has the same goodness and the dissemination ability time interval obeys power law distribution; (3) UI model has Good real-time and convergence.