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NExT-Live: A Live Observatory on Social Media

  • Conference paper
Advances in Multimedia Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

Abstract

This demonstration presents a live observatory system named ‘NExT-Live’. It aims to analyze live online social media data to mine social phenomena, senses, influences and geographic trends dynamically. It builds an efficient and robust set of crawlers to continually crawl online social interactions on various social networking sites, covering contents from different facets and in different medium types. It then performs analysis to fuse these social media data to generate analytics at different levels. In particular, it researches into high-level analytics to mine senses of different target entitles, including People Sense, Location Sense, Topic Sense and Organization Sense. NExT-Live provides a live observatory platform that enables people to know the happenings of the place in order to lead better life.

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References

  1. Cui, P., Wang, F., Liu, S.W., Ou, M.D., Yang, S.Q.: Who Should Share What? Item-level Social Influence Prediction for Users and Posts Ranking. In: International ACM SIGIR Conference (2011)

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  2. http://www.w3.org/community/webobservatory/

  3. Chua, T.S., Luan, H.B., Sun, M.S., Yang, S.Q.: NExT: NUS-Tsinghua Center for Extreme Search of User-Generated Content. IEEE Multimedia 19(3), 81–87 (2012)

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Author information

Authors and Affiliations

  1. School of Computing, National University of Singapore, Singapore

    Huanbo Luan, Dejun Hou & Tat-Seng Chua

  2. Department of Computer Science and Technology, Tsinghua University, China

    Huanbo Luan

Authors
  1. Huanbo Luan
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  2. Dejun Hou
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  3. Tat-Seng Chua
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, 5 Danling Street, 100080, Beijing, China

    Shipeng Li  & Tao Mei  & 

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. School of Computer and Information, Hefei University of Technology, Road Tunxi 193#, 230009, Hefei, Anhui, China

    Meng Wang  & Richang Hong  & 

  4. Department of Information Engineering and Computer Science, University of Trento, ommarive 14, 38100, Trento, Italy

    Nicu Sebe

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore, Singapore

    Shuicheng Yan

  6. School of Computing, CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Cathal Gurrin

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Luan, H., Hou, D., Chua, TS. (2013). NExT-Live: A Live Observatory on Social Media. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_55

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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