Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to characterize the dynamics of self-similar behavior in daily Internet traffic,  analyze the time series of traffic volume for a 24-hour period in a wide-area Internet, by using detrended fluctuation analysis (DFA) - a ll-known method of characterizing nonstationarity in a time series.  show that the estimated scaling exponent (which is directly related to the Hurst parameter) of traffic fluctuations has a dependency on the level of human activity for a time scale greater than 30s. Thus, the temporal correlation for traffic fluctuations is close to 1/f-noise during the day, and becomes aker at night. This result suggests that Internet traffic cannot be modeled using the unique value of the Hurst parameter.
['Kensuke Fukuda', 'Luís A. Nunes Amaral', 'H. E. Stanley']
I am writing a research paper on a idea Dynamics of temporal correlation in daily Internet traffic
[{"from": "human", "value": "I am writing a research paper on a idea Dynamics of temporal correlation in daily Internet traffic"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to characterize the dynamics of self-similar behavior in daily Internet traffic,  analyze the time series of traffic volume for a 24-hour period in a wide-area Internet, by using detrended fluctuation analysis (DFA) - a ll-known method of characterizing nonstationarity in a time series.  show that the estimated scaling exponent (which is directly related to the Hurst parameter) of traffic fluctuations has a dependency on the level of human activity for a time scale greater than 30s. Thus, the temporal correlation for traffic fluctuations is close to 1/f-noise during the day, and becomes aker at night. This result suggests that Internet traffic cannot be modeled using the unique value of the Hurst parameter."}]