Academic literature on the topic 'Self-organized criticality'
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Journal articles on the topic "Self-organized criticality"
Turcotte, Donald L. "Self-organized criticality." Reports on Progress in Physics 62, no. 10 (September 28, 1999): 1377–429. http://dx.doi.org/10.1088/0034-4885/62/10/201.
Full textBak, Per, Chao Tang, and Kurt Wiesenfeld. "Self-organized criticality." Physical Review A 38, no. 1 (July 1, 1988): 364–74. http://dx.doi.org/10.1103/physreva.38.364.
Full textBak, Per, and Kan Chen. "Self-Organized Criticality." Scientific American 264, no. 1 (January 1991): 46–53. http://dx.doi.org/10.1038/scientificamerican0191-46.
Full textTang, Chao. "Self-Organized Criticality." IFAC Proceedings Volumes 27, no. 1 (March 1994): 29–30. http://dx.doi.org/10.1016/s1474-6670(17)46153-2.
Full textBak, Per. "Self-organized criticality." Physica A: Statistical Mechanics and its Applications 163, no. 1 (February 1990): 403–9. http://dx.doi.org/10.1016/0378-4371(90)90348-v.
Full textSornette, Didier, Anders Johansen, and Ivan Dornic. "Mapping Self-Organized Criticality onto Criticality." Journal de Physique I 5, no. 3 (March 1995): 325–35. http://dx.doi.org/10.1051/jp1:1995129.
Full textDe Menech, Mario, and Attilio L. Stella. "Turbulent self-organized criticality." Physica A: Statistical Mechanics and its Applications 309, no. 3-4 (June 2002): 289–96. http://dx.doi.org/10.1016/s0378-4371(02)00745-8.
Full textTainaka, Kei-ichi, and Yoshiaki Itoh. "Apparent self-organized criticality." Physics Letters A 220, no. 1-3 (September 1996): 58–62. http://dx.doi.org/10.1016/0375-9601(96)00492-6.
Full textĎuran, I., J. Stöckel, M. Hron, J. Horácek, K. Dakubka, and L. Kryŝka. "Self-Organized Criticality paradigm." Czechoslovak Journal of Physics 50, S3 (March 2000): 42–46. http://dx.doi.org/10.1007/bf03165853.
Full textCreutz, Michael. "On self organized criticality." Nuclear Physics B - Proceedings Supplements 26 (January 1992): 252–56. http://dx.doi.org/10.1016/0920-5632(92)90245-n.
Full textDissertations / Theses on the topic "Self-organized criticality"
Hasty, Jeff. "A renormalization group study of self-organized criticality." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/29887.
Full textNeuß, Marius [Verfasser]. "Stochastic partial differential equations arising in self-organized criticality / Marius Neuß." Bielefeld : Universitätsbibliothek Bielefeld, 2021. http://d-nb.info/1231994762/34.
Full textХарченко, Дмитро Олегович, Дмитрий Олегович Харченко, Dmytro Olehovych Kharchenko, and I. R. Vernyhora. "Simulation of self-organized criticality within the framework of sandpile model." Thesis, Видавництво СумДУ, 2005. http://essuir.sumdu.edu.ua/handle/123456789/17177.
Full textMarsili, Matteo. "From Interface Growth to Dynamics in Disordered Media and Self Organized Criticality." Doctoral thesis, SISSA, 1994. http://hdl.handle.net/20.500.11767/4536.
Full textWarren, Keith Leverett. "Scaling, self-organized criticality and trend persistence in state psychiatric hospital admissions and discharges /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Full textWestrin, Pontus. "External Conditions Effects on the Self-Organised Criticality of the Calving Glacier Front of Tunabreen, Svalbard." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-255867.
Full textMassbalansprocesser för glaciärer är viktiga för att bestämma om isen drar sig tillbaka eller avancerar. Den mekaniska brytningen av isberg från glaciärer kallas kalvning. Kalvning är väldigt viktig för ett flertal glaciärers massbalans, exempelvis för landisen på Antarktis och glaciärer i Arktis. Ny forskning visar att kalvande glaciärfronter alltid försöker befinna sig i ett kritiskt läge, liknande ett så kallat Self-Organized Critical (SOC) system. Detta kan liknas vid hur en sandhög försöker befinna sig vid sin kritiska sluttningsvinkel när ett konstant flöde av sandkorn adderas. Adderandet av sandkorn kan jämföras med hur externa förhållanden, så som temperatur och tidvatten, ändras. När dessa värden ändras med tid så kommer fronten kalva, mycket likt hur sandhögen rasar när sandkorn tillförs. Externa förhållanden kommer alltså styra om glaciären kalvar eller inte, och när.En time-lapse-kamera installerades framför Tunabreen, en tidvatten glaciär på Svalbard, under Augusti-September, 2014. Bilderna över Tunabreens kalvningsfront, som varade över en 11-dagars period, användes för att ta ut varje enskild kalvingshändelse. Denna data jämfördes sedan med tidvatten, temperatur, luftfuktighet, atmosfäriskt tryck, vindhastighet och vindriktning. Resultaten jämfördes även med de förhållanden som visades i den nya studien som beskrevs tidigare.Resultaten är blandade. När tidvattnets amplitud var större än 1 meter så följer kalvningen tidvattnets mönster, men detta avtar när amplituden är mindre. Temperaturen visar viss korrelation, men endast för kortare perioder. Då temperaturens förhållande till kalvningen inte följer under de högsta och lägsta värden som fanns så bedöms temperaturen ha låg trovärdighet som kontrollerande faktor. Luftfuktighet, atmosfäriskt tryck, vindhastighet och vindriktning visar låg, till ingen, korrelation med kalvning. Storleksfördelningen av fragment och kalvningshastigheten har god korrelation med forskningen kring SOC, resultaten hjälper till att bekräfta denna teori. Time-lapse-fotografi bedöms som en bra metod för att observera kalvningsfronter, men har ett flertal problem som relaterar till det lokala vädret.Längre tidsperioder behövs för att bedöma om förhållanden stämmer på lång sikt. Data är svår att förvärva och tidskrävande att behandla. SOC stämmer bra in på kalvningsfronter vilket öppnar upp nya diskussioner inom forskningsvärlden.
Mahmoodi, Korosh. "Emergence of Cooperation and Homeodynamics as a Result of Self Organized Temporal Criticality: From Biology to Physics." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248467/.
Full textCosta, Ariadne de Andrade. "Quasi-criticalidade auto-organizada em avalanches neuronais." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-17112011-204509/.
Full textExperiments have shown that neuronal networks, both in vitro and in vivo, maintain activity described by avalanches and they are organized into a critical state in which these avalanches are distributed according to power laws. We have demonstrated that a model based on a network of excitable elements with dynamical synapses is able to exhibit self-organized criticality for a wide range of the parameter\'s space. Our results are consistent with other studies that suggest short-term synaptic depression is enough to produce criticality in neuronal avalanches. However, according to several researchers, in spite of the tuning to be gross to ensure that there is criticality in the model, it is more accurate do not say that the system presents genuine self-organized criticality, but self-organized quasi-criticality as the other non-conservative models in the literature.
Wu, Jingwei. "Open Source Software Evolution and Its Dynamics." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/1095.
Full textWe propose a multipurpose systematic approach to extracting program facts (e. g. , function calls). This approach is supported by a suite of C and C++ program extractors, which cover different steps in the program build process and handle both source and binary code. We present several heuristics to link facts extracted from individual files into a combined system model of reasonable accuracy. We extract historical sequences of system models to aid software evolution analysis.
We propose that software evolution can be viewed as Punctuated Equilibrium (i. e. , long periods of small changes interrupted occasionally by large avalanche changes). We develop two approaches to study such dynamical behavior. One approach uses the evolution spectrograph to visualize file level changes to the implemented system structure. The other approach relies on automated software clustering techniques to recover system design changes. We discuss lessons learned from using these approaches.
We present a new perspective on software evolution dynamics. From this perspective, an evolving software system responds to external events (e. g. , new functional requirements) according to Self-Organized Criticality (SOC). The SOC dynamics is characterized by the following: (1) the probability distribution of change sizes is a power law; and (2) the time series of change exhibits long range correlations with power law behavior. We present empirical evidence that SOC occurs in open source software systems.
Russo, Elena Tea. "Fluctuation properties in random walks on networks and simple integrate and fire models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9565/.
Full textBooks on the topic "Self-organized criticality"
Aschwanden, Markus. Self-Organized Criticality in Astrophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15001-2.
Full textHergarten, Stefan. Self-Organized Criticality in Earth Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04390-5.
Full textNewman, M. E. J. Self-organized criticality, evolution, and extinction. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.
Find full textSelvam, Amujuri Mary. Self-organized Criticality and Predictability in Atmospheric Flows. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54546-2.
Full textBak, P. How nature works: The science of self-organized criticality. New York, NY, USA: Copernicus, 1996.
Find full textBak, Per. How Nature Works: The Science of Self-Organized Criticality. S.l: Springer, 1996.
Find full textJensen, Henrik Jeldtoft. Self-organized criticality: Emergent complex behavior in physical and biological systems. Cambridge: Cambridge University Press, 1998.
Find full textVincent, Jansen, ed. Population biology and criticality: From critical birth-death processes to self-organized criticality in mutation pathogen systems. London: Imperial College Press, 2011.
Find full textservice), SpringerLink (Online, ed. Self-Organized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Find full textManna, Subhrangshu Sekhar, Attilio L. Stella, Peter Grassberger, and Ronald Dickman, eds. Self-Organized Criticality, Three Decades Later. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-219-6.
Full textBook chapters on the topic "Self-organized criticality"
Sornette, Didier. "Self-Organized Criticality." In Critical Phenomena in Natural Sciences, 321–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04174-1_15.
Full textHergarten, Stefan. "Self-Organized Criticality." In Self-Organized Criticality in Earth Systems, 87–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04390-5_5.
Full textDo, Anne-Ly Jabusch, and Thilo Gross. "Self-organized criticality." In Self-Organization in Continuous Adaptive Networks, 53–73. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339458-4.
Full textAschwanden, Markus. "Self-Organized Criticality Phenomena." In Self-Organized Criticality in Astrophysics, 1–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15001-2_1.
Full textBak, Per, and Michael Creutz. "Fractals and Self-Organized Criticality." In Fractals in Science, 27–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-11777-4_2.
Full textBak, Per, and Michael Creutz. "Fractals and Self-Organized Criticality." In Fractals in Science, 27–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-77953-4_2.
Full textAschwanden, Markus. "SOC-Like Models." In Self-Organized Criticality in Astrophysics, 321–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15001-2_10.
Full textAschwanden, Markus. "Numerical SOC Models." In Self-Organized Criticality in Astrophysics, 37–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15001-2_2.
Full textAschwanden, Markus. "Analytical SOC Models." In Self-Organized Criticality in Astrophysics, 83–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15001-2_3.
Full textAschwanden, Markus. "Statistics of Random Processes." In Self-Organized Criticality in Astrophysics, 111–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15001-2_4.
Full textConference papers on the topic "Self-organized criticality"
Caruso, Filippo, Alessandro Pluchino, Vito Latora, Andrea Rapisarda, Sergio Vinciguerra, Sumiyoshi Abe, Hans Herrmann, Piero Quarati, Andrea Rapisarda, and Constantino Tsallis. "Self-Organized Criticality and earthquakes." In COMPLEXITY, METASTABILITY, AND NONEXTENSIVITY: An International Conference. AIP, 2007. http://dx.doi.org/10.1063/1.2828746.
Full textStollenwerk, Nico. "Self-organized criticality in human epidemiology." In MODELING COOPERATIVE BEHAVIOR IN THE SOCIAL SCIENCES. AIP, 2005. http://dx.doi.org/10.1063/1.2008613.
Full textFernandes, Carlos Miguel, Juan Merelo, Agostinho Rosa, and Francisco Fernández. "Particle swarm with self-organized criticality." In the fourteenth international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2330784.2330950.
Full textAbramenko, V. I. "SELF-ORGANIZED CRITICALITY OF SOLAR MAGNETISM." In All-Russia Conference on Solar and Solar-Terrestrial Physics. The Central Astronomical Observatory of the Russian Academy of Sciences at Pulkovo, 2019. http://dx.doi.org/10.31725/0552-5829-2019-3-6.
Full textMakarenkov, Vladimir I., and A. B. Kirillov. "Self-organized criticality in neural networks." In SPIE Proceedings, edited by Steven K. Rogers. SPIE, 1991. http://dx.doi.org/10.1117/12.45022.
Full textMerelo, J. J., Pedro A. Castillo, Antonio M. Mora, Mario García-Valdez, Carlos Cotta, and Carlos Fernandes. "Self-organized criticality in code repositories." In Proceedings of the 14th European Conference on Artificial Life ECAL 2017. Cambridge, MA: MIT Press, 2017. http://dx.doi.org/10.7551/ecal_a_087.
Full textYang, Chun-xia, Shi-mei Jiang, Tao Zhou, Bing-hong Wang, and Pei-ling Zhou. "Self-organized Criticality of Computer Network Traffic." In 2006 International Conference on Communications, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icccas.2006.285010.
Full textDobson, I. "HICSS minitrack session on self-organized criticality." In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE, 2003. http://dx.doi.org/10.1109/hicss.2003.1173907.
Full textQuan Lu, Jing Chen, and Xiaopeng Yu. "Co-evolution of agents in self-organized criticality." In Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005. IEEE, 2005. http://dx.doi.org/10.1109/icsssm.2005.1500141.
Full textDhar, Deepak. "The abelian sandpile model of self-organized criticality." In Computer-aided statistical physics. AIP, 1992. http://dx.doi.org/10.1063/1.41946.
Full textReports on the topic "Self-organized criticality"
Glazier, J. A. Fingering Instabilities, Collapse, Avalanches and Self-Organized Criticality in Liquid Foams. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/837077.
Full textKrommes, J. A. Self-organized criticality, long-time correlations, and the standard transport paradigm. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/751200.
Full textKrommes, J. A. Recent results on analytical plasma turbulence theory: Realizability, intermittency, submarginal turbulence, and self-organized criticality. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/750257.
Full textBak, Peter, Kan Chen, Jose Scheinkman, and Michael Woodford. Aggregate Fluctuations from Independent Sectoral Shocks: Self-Organized Criticality in a Model of Production and Inventory Dynamics. Cambridge, MA: National Bureau of Economic Research, December 1992. http://dx.doi.org/10.3386/w4241.
Full textKrommes, J. A., and M. Ottaviani. Long-time tails do not necessarily imply self-organized criticality or the breakdown of the standard transport paradigm. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/750264.
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