Human dynamics

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Human dynamics refer to a branch of complex systems research in statistical physics such as the movement of crowds and queues and other systems of complex human interactions including statistical modelling of human networks, including interactions over communications networks.

Academic research edit

Human Dynamics as a branch of statistical physics: Its main goal is to understand human behavior using methods originally developed in statistical physics. Research in this area started to gain momentum in 2005 after the publication of A.-L. Barabási's seminal paper The origin of bursts and heavy tails in human dynamics.[1] that introduced a queuing model that was alleged to be capable of explaining the long tailed distribution of inter event times that naturally occur in human activity.

This paper spurred a burst of activity in this new area leading to not only further theoretical development of the Barabasi model,[2][3][4][5] its experimental verification in several different activities [5][6] and the beginning of interest in using proxy tools, such as web server logs.,[7][8][9] cell phone records[10][11] and even the rate at which registration to a major international conference occurs[12] and the distance and rate people around the globe commute from home to work.[13]

In recent years there has been a growing appetite for access to new data sources[14] that might prove useful in quantifying and understanding human behavior both at the individual and collective scales.[15]

Other usage edit

The term Human Dynamics or Human Dynamics as Personality Dynamics has also been used to describe a framework for understanding people and is applied in a technique aimed at education and team building. It is pioneered by Sandra Seagal and David Horne.[16] It is a study of the ways in which we process information related to the balance of Physical, Emotional, and Mental components of our experiences. [17] It has been subject to some skepticism, having been described in a Dutch newspaper as a personality course with esoteric (occult) roots.[18][19]

See also edit

Sense Networks

References edit

  1. ^ A.-L. Barabási (2005). "The origin of bursts and heavy tails in human dynamics". Nature. 435 (7039): 207–211. arXiv:cond-mat/0505371. Bibcode:2005Natur.435..207B. doi:10.1038/nature03459. PMID 15889093. S2CID 4419475.
  2. ^ A. Vázquez (2005). "Exact results for the Barabasi model of human dynamics". Physical Review Letters. 95 (24): 248701. arXiv:physics/0506126. Bibcode:2005PhRvL..95x8701V. doi:10.1103/PhysRevLett.95.248701. PMID 16384430. S2CID 15664101.
  3. ^ A. Vázquez; J. G. Oliveira; Z. Dezsö; K.-I. Goh; I. Kondor; A.-L. Barabási (2006). "Modeling bursts and heavy tails in human dynamics". Physical Review E. 73 (3): 036127. arXiv:physics/0510117. Bibcode:2006PhRvE..73c6127V. doi:10.1103/PhysRevE.73.036127. PMID 16605618. S2CID 14321672.
  4. ^ Cesar A. Hidalgo (2006). "Conditions for the emergence of scaling in the inter-event time of uncorrelated and seasonal systems". Physica A. 369 (2): 877–883. arXiv:cond-mat/0512278. Bibcode:2006PhyA..369..877H. doi:10.1016/j.physa.2005.12.035. S2CID 119340950.
  5. ^ a b M. Formentin; A. Lovison; A. Maritan; G. Zanzotto (2014). "Hidden scaling patterns and universality in written communication". Physical Review E. 90 (1): 012817. arXiv:1311.3601. Bibcode:2014PhRvE..90a2817F. doi:10.1103/PhysRevE.90.012817. PMID 25122352. S2CID 24022721.
  6. ^ J. G. Oliveira; A.-L. Barabási (2005). "Human Dynamics: The Correspondence Patterns of Darwin and Einstein". Nature. 437 (7063): 1251. arXiv:physics/0511006. Bibcode:2005Natur.437.1251O. doi:10.1038/4371251a. PMID 16251946. S2CID 4428375.
  7. ^ Bruno Goncalves; Jose J. Ramasco (2008). "Human dynamics revealed through Web analytics". Physical Review E. 78 (2): 026123. arXiv:0803.4018. Bibcode:2008PhRvE..78b6123G. doi:10.1103/PhysRevE.78.026123. PMID 18850913. S2CID 4975393.
  8. ^ Bruno Goncalves; Jose J. Ramasco (2009). "Towards the Characterization of Individual Users through Web Analytics". Complex Sciences. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Vol. 5. pp. 2247–2254. arXiv:0901.0498. Bibcode:2009cosc.conf.2247G. doi:10.1007/978-3-642-02469-6_102. ISBN 978-3-642-02468-9. S2CID 15251450.
  9. ^ Z. Dezsö; E. Almaas; A. Lukács; B. Rácz; I. Szakadát; A.-L. Barabási (2006). "Dynamics of information access on the web" (PDF). Physical Review E. 73 (6): 066132. Bibcode:2006PhRvE..73f6132D. doi:10.1103/PhysRevE.73.066132. hdl:2047/d20000691. PMID 16906939.
  10. ^ J.-P. Onnela; J. Saramäki; J. Hyvönen; G. Szabó; D. Lazer; K. Kaski; J. Kertész; A.-L. Barabási (2007). "Structure and tie strengths in mobile communication networks". PNAS. 104 (18): 7332–7336. arXiv:physics/0610104. Bibcode:2007PNAS..104.7332O. doi:10.1073/pnas.0610245104. PMC 1863470. PMID 17456605.
  11. ^ Jukka-Pekka Onnela; Jari Saramäki; Jörkki Hyvönen; Gábor Szabó; M Argollo de Menezes; Kimmo Kaski; Albert-László Barabási; János Kertèsz (2007). "Analysis of a large-scale weighted network of one-to-one human communication". New Journal of Physics. 9 (6): 179. arXiv:physics/0702158. Bibcode:2007NJPh....9..179O. doi:10.1088/1367-2630/9/6/179. S2CID 119382956.
  12. ^ Valentina Alfi; Giorgio Parisi; Luciano Pietronero (2007). "Conference registration: how people react to a deadline". Nature Physics. 3 (11): 746. Bibcode:2007NatPh...3..746A. doi:10.1038/nphys761.
  13. ^ Duygu Balcan; Vittoria Colizza; Bruno Goncalves; Hao Hu; Jose J. Ramasco; Alessandro Vespignani (2009). "Title: Multiscale mobility networks and the large scale spreading of infectious diseases". Proceedings of the National Academy of Sciences. 106 (51): 21484–21489. arXiv:0907.3304. Bibcode:2009PNAS..10621484B. doi:10.1073/pnas.0906910106. PMC 2793313. PMID 20018697.
  14. ^ Marta C. González; Albert-László Barabási (2007). "Complex networks: From data to models". Nature Physics. 3 (4): 224–225. Bibcode:2007NatPh...3..224G. doi:10.1038/nphys581. PMC 7096906. PMID 32226461.
  15. ^ M. Formentin; A. Lovison; A. Maritan; G. Zanzotto (2015). "New activity pattern in human interactive dynamics". Journal of Statistical Mechanics: Theory and Experiment. 2015 (9): P09006. arXiv:1405.5726. Bibcode:2015JSMTE..09..006F. doi:10.1088/1742-5468/2015/09/P09006. S2CID 16975015.
  16. ^ Seagal, Sandra; Horne, David (1997). Human Dynamics: A New Framework for Understanding People and Realizing the Potential in Our Organizations. Pegasus Communications Inc. ISBN 1-883823-06-4.
  17. ^ Seagal, Sandra (23 January 2016). "Human Dynamics". thesystemsthinker.com. Retrieved 19 January 2021.
  18. ^ "Skepsis bekritiseert 'occulte' schooltraining". Nederlands Dagblad (in Dutch). 10 November 2009. Retrieved 4 September 2014.
  19. ^ Nanninga, Rob (2009). "Human Dynamics. Occulte psychologie op school". Skepter (in Dutch). 22 (1).

External links edit