Anlysis and Design of Activity Degree Monitoring Algorithm DAU (Daily Active User) is the number of daily active users, often used to reflect the operation of websites, Internet APPs and games 1. DAU usually counts the number of users who have logged in or used a product (removing users who are repeatedly logged in) within one day (statistical day), which is similar to the concept of visitors (UV) in the traffic statistics tool. As we all know, the revenue source of some Internet applications lies in the revenue of advertising, and the amount of advertising revenue depends on the size of DAU. Therefore, the design strategy and algorithm to monitor the fluctuations of DAU can better help people analyze and improve our products, thus bringing improvements to the products. Therefore, this paper will design a variety of algorithm construction models to monitor the fluctuation of DAU, and achieve alarm announcement, analysis and location of the abnormal fluctuation of DAU, so as to explore of the value of DAU.

Extending AspectOriented Programming for Dynamic Users Activity Detection in Mobile App Analytics Mobile apps analytics represent a core set in the mobile industry to extract relevant data with the aim of modeling useru0027s behavior. Current solutions to detect inapp useru0027s activity are usually based on a continuous app code modification schema, which implies high development efforts and a clear problem to implement changes without compromising the time to come back to the market or even with dependencies in the useru0027s app updates. In this article, we analyze the suitability of aspectoriented programming for providing a more efficient way to detect useru0027s activity inside apps, which may lead to obtain user analytics. We propose an innovative approach that relies on an inapp solution based on the embedding of a specific library and a configuration file for setting up the events to be tracked in real time, without additional code changes in the app. Thus, this new schema will reduce the time and effort costs derived from the integration of third party trackers.