Stock market shock explained Physicists model recent trading frenzy .
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(-∞) General Background:The Microscopic Representation of Complex Macroscopic Phenomena, , Annual Reviews of Computational Physics II p 243, ed D. Stauffer, World Scientific 1995
Complexity a Science at 30, Europhysics News Feb-March 2003 p54
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(-∞) General Background:The Microscopic Representation of Complex Macroscopic Phenomena, , Annual Reviews of Computational Physics II p 243, ed D. Stauffer, World Scientific 1995
Complexity a Science at 30, Europhysics News Feb-March 2003 p54
Fig 1 Map of Complexity and its Neighbouring Fields (for a more detailed interactive version see http://complexity.cogniview.com/MapIndex.html )
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Lev Thesis; The string market: Statistical Mechanics of Conventional Traders May Lead to Non-Conventional Market Behavior, Physica Scripta. Vol. T106, 41, 2003
Market 'spikes' are seen by traders as freak events.Physicists expect them, Thursday
October 3, 2002
Stock market shock explainedPhysicists model recent trading frenzy.
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0) Social Critical Percolation, Social percolation models Physica A: 277 (1-2) (2000) 239 http://shum.huji.ac.il/~sorin/soc-per.ps GerardSocial Percolators and Self Organized Criticality in Handbook of Graphs and Networks: From the Genome to the Internet, p.113 eds. S. Bornholdt and H. G. Schuster, Wiley-VCH, Berlin, 2002. Anti-Percolation; antivirus ; Parallel Networks (SN); herding (Tom help)
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Density of potential adopters: 26 /48 > 50%
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Percolation transition
From non-sales at all to a lot of sales
Infinitely sharp at infinite size system
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prob
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Effects of
Expectations Adaptation
Self tunning to criticality
Fractal fluctuations
and correlations
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0) Social Critical Percolation, Social percolation models Physica A: 277 (1-2) (2000) 239 http://shum.huji.ac.il/~sorin/soc-per.ps GerardSocial Percolators and Self Organized Criticality in Handbook of Graphs and Networks: From the Genome to the Internet, p.113 eds. S. Bornholdt and H. G. Schuster, Wiley-VCH, Berlin, 2002. Anti-Percolation; antivirus ; Parallel Networks (SN); herding (Tom help)
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Resistance
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Resistant
AcceptantAcceptedalready
Acceptant
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Resistant
Acceptedalready
Acceptant
Acceptant
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Resistant
Acceptedalready
Acceptant
Acceptant blocked
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Resistant
Acceptedalready
Acceptant
Acceptant blocked
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Resistance
Resistant
Acceptedalready
Acceptant
Acceptant
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“ANTI-Percolation”
Antivirus
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Parallel Networks
Consumption;
Home
Workplace
Expectations
Consumption;
No herding
Expectations
No herding
+home
work
Consumption+Expectations=Herding
Consumption;
Home
Workplace
Expectations
home
work
Theorem: no magnetization in 1 dimension
Ask Tom
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5) Artificial Creativity Creative Sparks Science 285: 1495-1496, 1999; http://shum.huji.ac.il/~sorin/creative-sparks.htm
Communication at the speed of soundHerald Tribune Symbols set
Symbol 1 Symbol 2 Symbol 3
Product Message
Product space
P1
P2
P3 Matching by a linking operator
?
P4
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6) Diagonal Link and Novelty EmergenceTemplates of original innovation: Projecting original incremental innovations from intrinsic information (1999) Technological Forecasting and Social Change, May, Vol. 61/1 P. 1-12.
7) What are Stories made of?What Are Stories Made Of? Quantitative Categorical Deconstruction of Creation International Journal of Modern Physics C, Vol. 11, No. 4 (2000) 827-835 http://xxx.lanl.gov/abs/cond-mat/0008192
Figure 2b: General scheme underlying the replacement version of the pictorial analogy template
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8) Traces of Mind; Emergence of Meaning in Drawings Emergence of Representation in Drawing: The Relation Between Kinematic and Referential Aspects Cognitive Development 13, 25-51 (1998)
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9) Microscopic Seers and the emergence of 3 d visionRestricted Ability to Recover 3D Global Motion from 1 D Motion Signals: Theoretical Observations, Vision Research 35 (1995) 569-578.
10) Complexity Faces the Music. Structures of the Mind and Universal Music Science 2001 June 29; 292: 2433 http://shum.huji.ac.il/~sorin/structures.htm
11) Solving Traffic Jams: Human Intervention or Self-Organization? International Journal of Modern Physics, Vol. 14, No. 8 p 1007
12) Living Tree of knowledge; DiscussionDistrict; Self-mapping, Self-Organization and Dynamical Ontology of Communities
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13) Networks and K-cores scaling
14) Genetic vs Internet network;
100
101
103
104
105
106
= -2.99
2) Clusters vs. cores
core #
K~(1+ L/M)
A
BC
DC
A
36546, Z=46
B
253270, Z=23
826, Z=2.83 442, Z=2.22
Surf->linkCopy of gene at other location