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

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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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    1. Telesca, Luciano & Lovallo, Michele, 2006. "Are global terrorist attacks time-correlated?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 480-484.
    2. T. S. Evans, 2007. "Exact solutions for network rewiring models," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(1), pages 65-69, March.
    3. Ebeling, Werner & Neiman, Alexander, 1995. "Long-range correlations between letters and sentences in texts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 215(3), pages 233-241.
    4. Kan, Kamhon & Fu, Tsu-Tan, 1997. "Analysis Of Housewives' Grocery Shopping Behavior In Taiwan: An Application Of The Poisson Switching Regression," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 29(2), pages 1-11, December.
    5. Mike Thelwall & Rudy Prabowo & Ruth Fairclough, 2006. "Are raw RSS feeds suitable for broad issue scanning? A science concern case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1644-1654, October.
    6. Montemurro, Marcelo A., 2001. "Beyond the Zipf–Mandelbrot law in quantitative linguistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 567-578.
    7. Ronald Rousseau, 2002. "Lack of standardisation in informetric research. Comments on “Power laws of research output. Evidence for journals of economics” by Matthias Sutter and Martin G. Kocher," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 317-327, August.
    8. Ausloos, M. & Lambiotte, R., 2006. "Time-evolving distribution of time lags between commercial airline disasters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 513-524.
    9. Lambiotte, R. & Ausloos, M., 2006. "Endo- vs. exogenous shocks and relaxation rates in book and music “sales”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 485-494.
    10. Lucien Benguigui & Efrat Blumenfeld-Lieberthal, 2006. "From Lognormal Distribution To Power Law: A New Classification Of The Size Distributions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(10), pages 1429-1436.
    11. van Raan, Anthony F.J., 2001. "Two-step competition process leads to quasi power-law income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 298(3), pages 530-536.
    12. Gopikrishnan, P. & Plerou, V. & Gabaix, X. & Amaral, L.A.N. & Stanley, H.E., 2001. "Price fluctuations and market activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 137-143.
    13. V. Plerou & P. Gopikrishnan & X. Gabaix & L. A. N. Amaral & H. E. Stanley, 2001. "Price fluctuations, market activity and trading volume," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 262-269.
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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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