Building mobile social network with semantic relation using bayesian network-based life-log mining

Han Saem Park, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Mobile devices such as cell phone, PDA and smart phone have been so popularized that they are to be a necessity for everyday life. These mobile devices can be very useful tools to collect users' life-logs because they have many sensors and users always carry them. Therefore, many studies using mobile life-logs are actually being conducted. Mobile life-logs include interaction information between users as well as personal information of each user. We collect these mobile life-logs, and additionally, high-level logs such as activity and emotion as helping users to annotate them. Based on these life-logs, we build a novel mobile social network by mining semantic relations between users in life-logs using Bayesian network. For experiments, we build the mobile social networks and analyze them. Finally, we discuss how this mobile social network can be used for practical application and implemented a proof-of-concept application.

Original languageEnglish
Title of host publicationProceedings - SocialCom 2010
Subtitle of host publication2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust
Pages401-406
Number of pages6
DOIs
Publication statusPublished - 2010 Nov 29
Event2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010 - Minneapolis, MN, United States
Duration: 2010 Aug 202010 Aug 22

Publication series

NameProceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust

Other

Other2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010
CountryUnited States
CityMinneapolis, MN
Period10/8/2010/8/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Fingerprint Dive into the research topics of 'Building mobile social network with semantic relation using bayesian network-based life-log mining'. Together they form a unique fingerprint.

  • Cite this

    Park, H. S., & Cho, S. B. (2010). Building mobile social network with semantic relation using bayesian network-based life-log mining. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust (pp. 401-406). [5591267] (Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust). https://doi.org/10.1109/SocialCom.2010.64