%0 Journal Article %T The Study on Fractal Characteristics of Television Audience Ratings Based on R/S Analysis Method %J - %D 2015 %R http://dx.doi.org/10.3968/7300 %X 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. %K R/S analysis method %K Television audience rating %K Hurst index %U http://cscanada.net/index.php/mse/article/view/7300