The Modeling of Impact Factors of the Search-charts Based on Online User Behaviors

Yue Yang, Chunting Wang

Abstract


In the field of Internet users’ influence analysis, taking into account the behavior of network users from the impact of financial factors, we have limited influence within the network. In this paper, we choose the search-charts to study the online user behaviors. To analyze the influence of the search charts, the impact factor and impact time are proposed. Based on those two parameters, the mathematical model for the influence of the search charts is proposed. After validation of the real data and simulation results of two methods, the validity of the model is confirmed. The model can be obtained by the two conclusions: First, the initial stage of ranking reflects the objectives of the users. Second, the ranking will have differences with the users’ objectives within a certain time, but the length of time is related to the influence of the charts and the differences between the ranking and the users’ objectives.


DOI
10.12783/dtetr/apetc2017/10908

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