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The Twitter Observatory

Exploring Social and Semantic Relationships in Social Media

  • Conference paper
  • First Online:
The Semantic Web and Web Science (CSWS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 480))

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Abstract

With the rapid growth of social media and the mature of Web Science research, there is a crucial need for a new generation of open analytics environment, which are able to observe and analyze what is happening in social media. To meet this need, we propose the Twitter Observatory, which is designed to collect data from Twitter in real-time, and enable the analytics of both social and semantic data. This paper introduces the development and implementation of a work-in-progress prototype of the proposed Twitter Observatory, as well as discussions of our ongoing research.

Note: This work was done when the first author was affiliated with the Tetherless World Constellation at Rensselaer Polytechnic Institute, Troy, NY.

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Notes

  1. 1.

    The Tetherless World Constellation at Rensselaer Polytechnic Institute, http://tw.rpi.edu/.

  2. 2.

    https://dev.twitter.com/docs/api/streaming

  3. 3.

    https://twitter.com/TheEconomist/status/499873124834623488

  4. 4.

    https://github.com/dbpedia-spotlight/dbpedia-spotlight/wiki/Web-service

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Acknowledgments

This work is funded under the Rensselaer endowment to the Tetherless World Constellation.

Author information

Authors and Affiliations

  1. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong SAR, China

    Qingpeng Zhang

  2. Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA

    Bassem Makni & James A. Hendler

Authors
  1. Qingpeng Zhang
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  2. Bassem Makni
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  3. James A. Hendler
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Corresponding author

Correspondence to Qingpeng Zhang .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Dongyan Zhao

  2. Guangdong University of Foreign Studies, Guangzhou, China

    Jianfeng Du

  3. East China University, Shanghai, China

    Haofen Wang

  4. Southeast University, Nanjing, China

    Peng Wang

  5. Wuhan University, Wuhan, China

    Donghong Ji

  6. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Makni, B., Hendler, J.A. (2014). The Twitter Observatory. In: Zhao, D., Du, J., Wang, H., Wang, P., Ji, D., Pan, J. (eds) The Semantic Web and Web Science. CSWS 2014. Communications in Computer and Information Science, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45495-4_22

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  • DOI: https://doi.org/10.1007/978-3-662-45495-4_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45494-7

  • Online ISBN: 978-3-662-45495-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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