Literature DB >> 16251946

Human dynamics: Darwin and Einstein correspondence patterns.

João Gama Oliveira1, Albert-László Barabási.   

Abstract

In an era when letters were the main means of exchanging scientific ideas and results, Charles Darwin (1809-82) and Albert Einstein (1879-1955) were notably prolific correspondents. But did their patterns of communication differ from those associated with the instant-access e-mail of modern times? Here we show that, although the means have changed, the communication dynamics have not: Darwin's and Einstein's patterns of correspondence and today's electronic exchanges follow the same scaling laws. However, the response times of their surface-mail communication is described by a different scaling exponent from e-mail communication, providing evidence for a new class of phenomena in human dynamics.

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Year:  2005        PMID: 16251946     DOI: 10.1038/4371251a

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  36 in total

1.  A Poissonian explanation for heavy tails in e-mail communication.

Authors:  R Dean Malmgren; Daniel B Stouffer; Adilson E Motter; Luís A N Amaral
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-18       Impact factor: 11.205

2.  Excitable human dynamics driven by extrinsic events in massive communities.

Authors:  Joachim Mathiesen; Luiza Angheluta; Peter T H Ahlgren; Mogens H Jensen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-07       Impact factor: 11.205

3.  Robust dynamic classes revealed by measuring the response function of a social system.

Authors:  Riley Crane; Didier Sornette
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-29       Impact factor: 11.205

4.  Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.

Authors:  G L Chaters; P C D Johnson; S Cleaveland; J Crispell; W A de Glanville; T Doherty; L Matthews; S Mohr; O M Nyasebwa; G Rossi; L C M Salvador; E Swai; R R Kao
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

5.  Unfolding large-scale online collaborative human dynamics.

Authors:  Yilong Zha; Tao Zhou; Changsong Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-01       Impact factor: 11.205

6.  Calling patterns in human communication dynamics.

Authors:  Zhi-Qiang Jiang; Wen-Jie Xie; Ming-Xia Li; Boris Podobnik; Wei-Xing Zhou; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-14       Impact factor: 11.205

7.  Discussing Occupy Wall Street on Twitter: longitudinal network analysis of equality, emotion, and stability of public discussion.

Authors:  Cheng-Jun Wang; Pian-Pian Wang; Jonathan J H Zhu
Journal:  Cyberpsychol Behav Soc Netw       Date:  2013-05-08

8.  Scaling laws of ambush predator 'waiting' behaviour are tuned to a common ecology.

Authors:  Victoria J Wearmouth; Matthew J McHugh; Nicolas E Humphries; Aurore Naegelen; Mohammed Z Ahmed; Emily J Southall; Andrew M Reynolds; David W Sims
Journal:  Proc Biol Sci       Date:  2014-03-11       Impact factor: 5.349

9.  Tracing information flow on a global scale using Internet chain-letter data.

Authors:  David Liben-Nowell; Jon Kleinberg
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

10.  Scaling laws of human interaction activity.

Authors:  Diego Rybski; Sergey V Buldyrev; Shlomo Havlin; Fredrik Liljeros; Hernán A Makse
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-14       Impact factor: 11.205

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