![]() ![]() ![]() For fiction, essays, and some forms of poetry - "uniform". Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha = 1.15).įor maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). most of the time non-influential words, occasionally words with a high influence). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). We plot the narrative as a time series of influence (using the words' betweenness score).
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