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Demonstration of Dynamic Targeting in an Online Social Medium

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Social Informatics (SocInfo 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7710))

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Abstract

A novel way of calculating online influence has been proposed in [2,1]. Bloom Agency have created new online software capable of collecting social data and calculating these new influence metrics in real time. A demonstration of this software will be given at the conference. Delegates will be encouraged to Tweet using the #socinfo2012 hashtag and the influence of the top ten Tweeters will be shown, along with a visualisation of the evolving conversation.

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References

  1. Grindrod, P., Higham, D.J.: A matrix iteration for dynamic network summaries. Tech. Report University of Strathclyde Mathematics Research Report 22 (2011) (to appear in SIAM Review)

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  2. Grindrod, P., Higham, D.J., Parsons, M.C., Estrada, E.: Communicability across evolving networks. Physical Review E 83, 046120 (2011)

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  4. Laflin, P., Mantzaris, A.V., Ainley, F., Otley, A., Grindrod, P., Higham, D.J.: Dynamic Targeting in an Online Social Medium. In: Aberer, K., Jager, W., Liu, L., Tang, J., Flache, A., Guéret, C. (eds.) SocInfo 2012. LNCS, vol. 7710, pp. 82–95. Springer, Heidelberg (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Laflin, P., Ainley, F., Otley, A., Mantzaris, A.V., Higham, D.J. (2012). Demonstration of Dynamic Targeting in an Online Social Medium. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds) Social Informatics. SocInfo 2012. Lecture Notes in Computer Science, vol 7710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35386-4_41

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  • DOI: https://doi.org/10.1007/978-3-642-35386-4_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35385-7

  • Online ISBN: 978-3-642-35386-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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