Abstract: Data collected from mobile phones have the potential to provide insight into the community's individual classification. Using the reality data collected from 94 Nokia 6600 users, a training dataset fed to SOM neural network was generated, the training dataset consists of user's correspondence statistics and survey data. A Similary Subject Recognition System(SSRS) building on SOM neural network was designed and realized. The system SSRS can carry on the effective classification to community's individual and lay the foundation of forecasting the individual future behavior.

Key words: Reality mining, Mobile phone, SOM