The Study on Fractal Characteristics of Television Audience Ratings Based on R/S Analysis Method

Weican LI, Lingli HUANG


According to the nonlinear distribution of Television Audience ratings data, a fractal dimension study on average daily television audience ratings of three TV stations based on R/S analysis method. Results show that the Hurst index of time series is significantly greater than 0.5 and there is a trend of long-term memory; All the time series is significantly different in the non-periodic cycles length and offer explanation from the perspective of three Television stations’ characteristics of development. This method can help television managers realize the viewing situation, master the change rule and help advertisers make a scientific decision.


R/S analysis method; Television audience rating; Hurst index

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