Influence Evaluation of Network Content Resource Creation Group Based on PageRank
Feiyan Guo, Bin Cheng, Lin Qi · 2021
In the new media environment, traffic has become a quantitative indicator for evaluating the influence of creators. It is necessary to objectively evaluate the influence of content resource creators. It can provide an objective ranking mechanism for the creators, and a basis for the prediction of the continuous high-level creative ability of the creators. Taking Chinese pop music creation groups as the research object, this paper proposes a dual-dimensional influence ranking algorithm–DDIR. The algorithm considers the basic attributes of content resources and the interaction between creators, and quantitatively analyzes the influence of creators. The top creators are most powerful. For long-term sustainable development, we should still insist that “content is king”.