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Mobile human network management and recommendation by probabilistic social mining.

Jun-Ki Min1, Sung-Bae Cho

  • 1Department of Computer Science, Yonsei University, Seoul, Korea. loomlike@sclab.yonsei.ac.kr

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|December 22, 2010
PubMed
Summary

This study introduces SmartPhonebook, a system that mines mobile social connections and personal contexts to manage relationships. It acts as an assistant, recommending contacts and visualizing social networks for better mobile social networking.

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Social Computing

Background:

  • Mobile devices are increasingly used for social networking, but methods for managing social connections are underdeveloped.
  • Existing research often focuses on context utilization within social networks, neglecting the management of the human network itself.

Purpose of the Study:

  • To present SmartPhonebook, a system designed to mine users' social connections and manage relationships by reasoning social and personal contexts.
  • To develop an artificial assistant that recommends contacts and visualizes social situations for mobile users.

Main Methods:

  • Inferring social contexts from mobile contact patterns.
  • Extracting personal contexts (emotional states, behaviors) from mobile logs.
  • Utilizing Bayesian networks to handle uncertainties in mobile environments.

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Main Results:

  • SmartPhonebook successfully mines social connections and personal contexts.
  • The system recommends relevant contacts and visualizes social network information.
  • Experimental results demonstrate an efficient and informative approach to mobile social networking.

Conclusions:

  • SmartPhonebook offers a novel method for managing mobile social networks by integrating social and personal context inference.
  • The system enhances user awareness of their social situations and facilitates relationship management.
  • The approach provides an efficient and informative solution for the evolving landscape of mobile social networking.