Capturing Mobile User Behaviors: A Network Measurement Approach

Abstract:

Understanding the online user behaviors in the mobile app markets is vital for the development of mobile app ecosystems. However, user transaction data is difficult to obtain by the general research community so that little efforts have been paid to measure such behaviors. Therefore, we develop novel approaches to characterize the user behaviors. We firstly exploit app networks from the app market, which are derived from user behaviors thus capture the behavior features. We then introduce the metrics of network measurement and propose a new method to measure the app similarity. Using these metrics and methods, we generate statistics of the app networks and reveal patterns and motivations of user behaviors, which may give fundamental data and motivation supports for future works.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 1494-1497
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.1494
• Online since: September 2013
• Authors: Xiao Xia, Xiao Dong Wang, Xing Ming Zhou
• Keywords: App Network, Latent Semantic Indexing, Measurement, User Behavior

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