addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgooglegroupshelp-with-circleimageimagesinstagramlinklocation-pinm-swarmSearchmailmessagesminusmoremuplabelShape 3 + Rectangle 1ShapeoutlookpersonJoin Group on CardStartprice-ribbonShapeShapeShapeShapeImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruserwarningyahoo

Social Network 2.0 – from sharing experiences to sharing values, Prof Xue Li, UQ

Topic: Social Network 2.0 – from sharing experiences to sharing values
Speaker: Prof. Xue Li, University of Queensland
Date and time: 4:30-5:30pm, Tuesday 6 Dec 2016
Location: 6C34 (Building 6, room C34), University of Canberra
Map and Parking: http://www.canberra.edu.au/maps/pdf-maps/PARKING-Casual.pdf

Abstract:

In current social networks, people share their information, feelings, and experiences with or without their true online identities. For the last 10 years, we have experienced many problems such as spamming, cyberbullying, and misusage of social media for causing problems such as London Riots. One key question is about whether we are OK to associate our true identity with the cyber identity. In social network connected services such as Uber and Airbnb, people are using there traceable identities in the cyberspace, where all transactions are protected by insurance companies or by law. So the question is: if people are willing to use their true identity online in order to share services and values, how can we make social networks a trust-worthy place? In this talk, we discuss the concept of Social Network 2.0 as an emerging type of social networks where people are OK to use their true identities to come together in order to share the services and values. We will present our understanding on the problems on this type of new generation social networks and some of our research initiatives.

About the speaker:

Dr Xue Li is a Professor in DKE (Data and Knowledge Engineering) Division, School of Information Technology, the University of Queensland in Australia. He obtained a BSc in Computer Science in Chongqing University, China in 1982, a MSc in the University of Queensland in 1989, and a PhD in Information Systems in QUT 1997. His research interests are in data mining, intelligent information systems, and social computing. He has over 160 publications as monograph, edited books, book chapters, and journal and conference papers. He was recognized as one of the Top-50 “Most Powerful People in Australia” in 2015 by Australian Financial Review. He has successfully supervised 17 PhD candidates to completion as their Principal Supervisor. He is currently a Chief Investigator for three ARC (Australian Research Council) Funding Projects. He is an Associate Editor of Journal of Advanced Internet of Things.
Homepage: http://staff.itee.uq.edu.au/xue/
Email: [masked]


Join or login to comment.

  • Sean L.

    A Very impressive talk and a passionate talker. Prof. Li covered a wide range of researches based on social network data. I particularly like the idea of the geolocation aware TFIDF. The idea of a social network centralized online experience with distribute, user-owned data is impressive too. Thanks Prof. Xue Li for giving the talk and thanks Yanchang for organizing this.

    1 · December 8

  • Xiuping J.

    Thanks Yanchang to organising. I was really impressed with Prof. Li's talk. The results are amazing. Many congratulations! I have many questions on how to achieve them technically. ML and AI are my interested areas, and to apply them to remote sensing image analysis. Talk to Prof. Li more when he is available. Nice to meet everyone. I was sorry to leave early.

    2 · December 7

  • Yanchang Z.

    It was an excellent talk, followed by very interesting discussions.

    December 7

  • Gemo N.

    good!

    December 7

  • Ot R.

    I had to leave work early at 4:00pm in order to attend Prof Xue Li's talk this at 4:30pm. I can say that it was well and truly worth it. Prof Xue Li gave a very interesting talk on using machine learning, using twitter feeds to predict election results. He also talked about how his system could use to predict a variety of things, including cyber bullying and teenage suicide... and it was the first time that I had heard about In Memory Polymorphic Databases.

    1 · December 6

  • Yanchang Z.

    Have attended Prof Xue Li's talk today. He presented their fantastic work on election prediction, cyber-bullying detection, location-sensitive event prediction and product and service recommendation. Look forward to his talk for us in Dec.

    November 15

Our Sponsors

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy