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      Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

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          Abstract

          We analyze the dynamic properties of 10 7 words recorded in English, Spanish and Hebrew over the period 1800–2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis.

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          The origin of bursts and heavy tails in human dynamics

          The dynamics of many social, technological and economic phenomena are driven by individual human actions, turning the quantitative understanding of human behavior into a central question of modern science. Current models of human dynamics, used from risk assessment to communications, assume that human actions are randomly distributed in time and thus well approximated by Poisson processes. In contrast, there is increasing evidence that the timing of many human activities, ranging from communication to entertainment and work patterns, follow non-Poisson statistics, characterized by bursts of rapidly occurring events separated by long periods of inactivity. Here we show that the bursty nature of human behavior is a consequence of a decision based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, most tasks being rapidly executed, while a few experience very long waiting times. In contrast, priority blind execution is well approximated by uniform interevent statistics. These findings have important implications from resource management to service allocation in both communications and retail.
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            Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

            We identified individual-level diurnal and seasonal mood rhythms in cultures across the globe, using data from millions of public Twitter messages. We found that individuals awaken in a good mood that deteriorates as the day progresses--which is consistent with the effects of sleep and circadian rhythm--and that seasonal change in baseline positive affect varies with change in daylength. People are happier on weekends, but the morning peak in positive affect is delayed by 2 hours, which suggests that people awaken later on weekends.
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              Scaling behaviour in the growth of companies

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                Author and article information

                Journal
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                15 March 2012
                2012
                : 2
                : 313
                Affiliations
                [1 ]simpleLaboratory for the Analysis of Complex Economic Systems, IMT Lucca Institute for Advanced Studies , Lucca 55100, Italy
                [2 ]simpleCenter for Polymer Studies and Department of Physics, Boston University , Boston, Massachusetts 02215, USA
                [3 ]simpleMinerva Center and Department of Physics, Bar-Ilan University , Ramat-Gan 52900, Israel
                Author notes
                Article
                srep00313
                10.1038/srep00313
                3304511
                22423321
                ace3c6dd-d394-402b-8e49-13da112e4ea8
                Copyright © 2012, Macmillan Publishers Limited. All rights reserved

                This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 17 February 2012
                : 24 February 2012
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