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Word statistics in Blogs and RSS feeds: Towards empirical universal evidence

Author

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  • Lambiotte, R.
  • Ausloos, M.
  • Thelwall, M.

Abstract

We focus on the statistics of word occurrences and of the waiting times between such occurrences in Blogs. Due to the heterogeneity of words’ frequencies, the empirical analysis is performed by studying classes of “frequently-equivalent” words, i.e. by grouping words depending on their frequencies. Two limiting cases are considered: the dilute limit, i.e. for those words that are used less than once a day, and the dense limit for frequent words. In both cases, extreme events occur more frequently than expected from the Poisson hypothesis. These deviations from Poisson statistics reveal non-trivial time correlations between events that are associated with bursts of activities. The distribution of waiting times is shown to behave like a stretched exponential and to have the same shape for different sets of words sharing a common frequency, thereby revealing universal features.

Suggested Citation

  • Lambiotte, R. & Ausloos, M. & Thelwall, M., 2007. "Word statistics in Blogs and RSS feeds: Towards empirical universal evidence," Journal of Informetrics, Elsevier, vol. 1(4), pages 277-286.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:4:p:277-286
    DOI: 10.1016/j.joi.2007.07.001
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    Cited by:

    1. Chen, Long-Sheng & Liu, Cheng-Hsiang & Chiu, Hui-Ju, 2011. "A neural network based approach for sentiment classification in the blogosphere," Journal of Informetrics, Elsevier, vol. 5(2), pages 313-322.
    2. Yukie Sano & Misako Takayasu, 2010. "Macroscopic and microscopic statistical properties observed in blog entries," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 221-230, December.
    3. Ficcadenti, Valerio & Cerqueti, Roy & Ausloos, Marcel & Dhesi, Gurjeet, 2020. "Words ranking and Hirsch index for identifying the core of the hapaxes in political texts," Journal of Informetrics, Elsevier, vol. 14(3).
    4. Ausloos, M., 2012. "Measuring complexity with multifractals in texts. Translation effects," Chaos, Solitons & Fractals, Elsevier, vol. 45(11), pages 1349-1357.

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