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Tadvise: A Twitter Assistant Based on Twitter Lists

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Social Informatics (SocInfo 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6984))

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Abstract

Micro-blogging is yet another dynamic information channel where the user needs assistance to manage incoming and outgoing information streams. In this paper, we present our Twitter assistant called Tadvise that aims to help users to know their followers / communities better. Tadvise recommends well-connected topic-sensitive followers, who may act as hubs for broadcasting a tweet to a larger relevant audience. Each piece of advice given by Tadvise is supported by declarative explanations. Our evaluation shows that Tadvise helps users to know their followers better and also to find better hubs for propagating community-related tweets.

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Author information

Authors and Affiliations

  1. Digital Enterprise Research Institute, National University of Ireland, Galway, IDA Business Park, Lower Dangan, Galway, Ireland

    Peyman Nasirifard & Conor Hayes

Authors
  1. Peyman Nasirifard
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  2. Conor Hayes
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University (NTU), Block N4, Nanyang Avenue, 639798, Singapore

    Anwitaman Datta

  2. University of Massachusetts Amherst, Thompson Hall, 200 Hicks Way, 01003, Amherst, MA, USA

    Stuart Shulman

  3. Singapore Management University, Singapore

    Baihua Zheng

  4. Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University,, Roosevelt Rd., 10617, Taipei, Taiwan

    Shou-De Lin

  5. School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, 639798, Singapore

    Aixin Sun

  6. School of Information Systems, Singapore Management University, 80 Stamford Rd, 178902, Singapore

    Ee-Peng Lim

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© 2011 Springer-Verlag Berlin Heidelberg

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Nasirifard, P., Hayes, C. (2011). Tadvise: A Twitter Assistant Based on Twitter Lists. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-24704-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24703-3

  • Online ISBN: 978-3-642-24704-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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