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.
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 usageedit
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]
^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.
^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.
^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.
^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.
^ abM. 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.
^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.
^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.
^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. ISBN978-3-642-02468-9. S2CID 15251450.
^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.
^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. PMC1863470. PMID 17456605.
^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.
^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.
^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. PMC2793313. PMID 20018697.
^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. PMC7096906. PMID 32226461.
^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.
^Seagal, Sandra; Horne, David (1997). Human Dynamics: A New Framework for Understanding People and Realizing the Potential in Our Organizations. Pegasus Communications Inc. ISBN1-883823-06-4.
^Seagal, Sandra (23 January 2016). "Human Dynamics". thesystemsthinker.com. Retrieved 19 January 2021.
^"Skepsis bekritiseert 'occulte' schooltraining". Nederlands Dagblad (in Dutch). 10 November 2009. Retrieved 4 September 2014.
^Nanninga, Rob (2009). "Human Dynamics. Occulte psychologie op school". Skepter (in Dutch). 22 (1).
External linksedit
Report of the Defense Science Board Task Force on Understanding Human Dynamics [dead link]
Human Dynamics at Notre Dame
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human, dynamics, refer, branch, complex, systems, research, statistical, physics, such, movement, crowds, queues, other, systems, complex, human, interactions, including, statistical, modelling, human, networks, including, interactions, over, communications, n. 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 Contents 1 Academic research 2 Other usage 3 See also 4 References 5 External linksAcademic research editHuman 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 Barabasi 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 editThe 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 editSense NetworksReferences edit A L Barabasi 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 A Vazquez 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 A Vazquez J G Oliveira Z Dezso K I Goh I Kondor A L Barabasi 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 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 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 J G Oliveira A L Barabasi 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 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 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 Z Dezso E Almaas A Lukacs B Racz I Szakadat A L Barabasi 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 J P Onnela J Saramaki J Hyvonen G Szabo D Lazer K Kaski J Kertesz A L Barabasi 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 Jukka Pekka Onnela Jari Saramaki Jorkki Hyvonen Gabor Szabo M Argollo de Menezes Kimmo Kaski Albert Laszlo Barabasi Janos Kertesz 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 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 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 Marta C Gonzalez Albert Laszlo Barabasi 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 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 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 Seagal Sandra 23 January 2016 Human Dynamics thesystemsthinker com Retrieved 19 January 2021 Skepsis bekritiseert occulte schooltraining Nederlands Dagblad in Dutch 10 November 2009 Retrieved 4 September 2014 Nanninga Rob 2009 Human Dynamics Occulte psychologie op school Skepter in Dutch 22 1 External links editReport of the Defense Science Board Task Force on Understanding Human Dynamics dead link Human Dynamics at Notre Dame nbsp This statistics related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Human dynamics amp oldid 1171679448, wikipedia, wiki, book, books, library,
