Skip to main content
  • UQ Home
  • Contacts
  • Study
  • Maps
  • News
  • Events
  • Library
  • my.UQ
The University of Queensland

Research Computing CentreResearch Computing Centre

Site search
Homepage Site menu
  • Home
  • Core Technologies
    • High Performance Computing
    • Cloud computing
    • Workflow
      • Nimrod
      • Kepler
      • Galaxy
        • Genomics Virtual Lab
    • Data Management
    • Visualisation
  • Infrastructure
    • High Performance Computing
      • Awoonga
      • FlashLite
      • Tinaroo
      • Wiener
      • RCC Active Changes (UQ only)
      • RCC Active Incidents (UQ only)
      • RCC User Guides (UQ only)
      • External resources
    • Cloud computing
    • Data storage
  • Themes
  • Media & Events
    • News
    • Newsletters
    • Events
      • Upcoming seminars
    • RCC seminars
    • RCC presentations
    • Media mentions
  • About
    • RCC's Mission
    • Research impact
    • The RCC team
    • Governance
    • RCC Fellows
    • Student internships in the RCC
    • QURPA
      • QURPA trip report 2020—Edward Davis
      • QURPA trip report 2020—Aviral Kailash Jain
      • QURPA Trip Report 2019
      • QURPA Trip Report 2016
      • QURPA Trip Reports 2015
      • QURPA 2020: Using machine learning to detect falls
    • Acknowledging RCC
  • Contact
  • Support
    • Training
    • Meetups
    • Support Desk
    • Service Status
  • FAQS

Social Media & Social Network Data Analytics

4 May 2015
11:00am to 12:00pm
Room R505A, level 5, Axon Building, Building 47, St Lucia

Title: Social Media & Social Network Data Analytics

Short description: Social media and networks are a popular place for people to express their opinions about consumer products, to organide or initiate social events, or to spread news. Some questions should be asked in order to understand the social media and social networks: How can we detect and predict the emerging events with the awareness of locations? How can we predict the propagation patterns of online micro-blogs? How can we understand people’s opinions about a current issue, a new product, or an important event such as government elections? This talk is to report our recent research work on the social media and social networks data mining. A few application systems will be reported to answer the above questions.

Presenter: Dr Xue Li

© The University of Queensland
Enquiries: +61 7 3365 1111   |   Contact directory
ABN: 63 942 912 684   |   CRICOS Provider No: 00025B
Emergency
Phone: 3365 3333
Privacy & Terms of use   |   Feedback   |   Updated: 5 Aug 2015
Login