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Oral presentations Posters and participants
Prof. Kunio
Awaga
(Department of
Chemistry, Graduate School of Science,
Nagoya University
Email:
awaga@mbox.chem.nagoya-u.ac.jp trip:
Shanghai, Nov 16; Ye takes care all. Spin, charge and lattice correlation in phase transitions of organic radical crystals Magnetic and electrical properties of organic radical solids have been studied extensively. It has been revealed that they often exhibit drastic phase transitions which are associated with significant changes in various physical parameters. In this presentation, we will review these phase transition, focusing on the spin, charge and lattice correlation in them, and will explain our recent works on heterocyclic thiazyl radicals with strong intermolecular interactions in 3D network structures; (1) TTTA exhibited a room-temperature bistability between a paramagnetic high-temperature phase and a diamagnetic low-temperature phase. The phase control of TTTA was achieved by pressure and light irradiation. (2) BDTA made a diamagnetic-paramagnetic phase transition above room temperature, but this was always accompanied by superheating and supercooling. (3) BDTA2[Co(mnt)2] exhibited a charge-transfer phase transition at 190 K which resembled the neutral-ionic phase transition in TTF-CA. The transition in BDTA2[Co(mnt)2] brought about coordination bonding between the two components. Prof. Jianshu Cao (MIT, USA) e-mail: jianshu@MIT.EDU trip: no hotel room is needed Statistical analysis of single molecule kinetics This talk focuses on theoretical and numerical analysis of single molecule sequences: (1) A transfer matrix formalism is developed to calculate the probability of single molecule sequences and to analyze various indicators ranging from two-event contours to photon statistics. An analogy to linear and non-linear spectroscopy helps understand the information content of sequences and indicators. (2) Detailed balance violations are shown to result in detectable signatures in event histograms, which include peaks in the single molecule waiting time distribution, broken time reversal symmetry, and a lack of diagonal features in two-dimensional contours. (3) Extracting reliable kinetic information from indicators is generally not feasible because of the noise and the binning of the data. A candidate to overcome this practical difficulty is Bayesian statistics, which avoids the data inversion problems inherent in traditional methods. Applications to the photon emission data reported in a recent single protein experiment show complex relaxation dynamics on the millisecond time-scale. Prof. Moo Young Choi
(Department of Physics, Seoul National University trip: Hangzhou Nov 15 OZ359 14:20; depart from Hangzhou Nov 20.
Talk 1 Physics of complex systems Talk 2 possibly from 1) Critical currents and defect motion in superconducting
arrays; Prof. Markus Deserno
(MPI fuer Polymerforschung, Ackermannweg 10, e-mail:
deserno@mpip-mainz.mpg.de trip: Shanghai, Nov 14 LH 728 11:10am; Nov 20 to Shanghai,
A new simulational approach to coarse-grained fluid lipid
membranes
Prof.
C.K. Hu
(
e-mail: huck@phys.sinica.edu.tw
trip: Hangzhou, Nov 13 then to Jinhua; Hangzhou, Nov 15; depart, Nov 19.
Some Recent Developments in Simulational Approach to Protein Folding
In this talk, I briefly review some recent developments in simulation approach to protein folding. The topics under discussion include: 1. developments of algorithms and computer packages for all-atom simulations of proteins [1], 2. delvelopment of algorithm to compute volume V , surface area A, and cavities of proteins by analytic equations [2], and apply such algorithm to calculate V=A ratios for native protein structures [3], 3. Go-like model approach to folding of hbSBD{a protein with 52 amino acides [4], 4. unfolding and refolding of immunoglobulin domain I27 and ubiquitin [5].References [1] F. Eisenmenger, U. H.E. Hansmann, S.
Hayryan, and C.-K. Hu. Comp. Phys. Commu., 138, 192-212 (2001) and
174, 422 (2006); S. Hayrian, C.-K. Hu, S.-Y. Hu and R.-J. Shang. J. Comp.
Chem. 22, 1287-1296 (2001); R. G. Ghulghazaryan, S. Hayryan and C.-K. Hu. J.
Comp. Chem., in press. Prof. Xiao Hu
(Computational Materials Science Center, National Institute for Materials
Science, e-mail:
HU.Xiao@nims.go.jp trip: Hangzhou, Nov. 15, Shanghai, Nov. 18 17:00.
Dynamics simulation for current-driven vortices with defects
Dynamics of current-driven vortices in type II superconductors with defects is relevant to many applications of superconducting state. It is also a challenge to give a theoretical picture for the physics which is related to typical glassy phenomena. Even the most advanced functional renormalization theory cannot give a satisfactory answer so far. We have performed dynamical simulations for current-driven vortices with point pins. Besides a continuous depinning transition at zero temperature, we also observed creep behaviors at finite temperatures. Both Arrhenius type and non-Arrhenius type creeps have been found depending on the strength of pinning potential. The observations from computer simulations will be discussed in the light of phenomenological theory.
Prof. Nobuyasu. Ito (Department of
Applied Physics,
School of Engineering,
e-mail: ito@ap.t.u-tokyo.ac.jp
trip: Shanghai, Nov 10 JL619 13:45; Nov 11 CA1775 8:40 to Xi'an;
Nonequilibrium simulation study of interface
Prof. Wolfhard Janke (Institute for Theoretical
Physics, University Leipzig, Diluted Magnets - Simulations vs Series Expansions
Prof.
Kimmo Kaski
(Helsinki University of Technology,
Laboratory of Computational Engineering,
email:
kimmo.kaski@hut.fi Structure and tie strengths in mobile communication networks
Prof. Beom-jun Kim
(Department
of Physics, BK21 Physics Research Division,
Quantum phase transition and finite-size scaling
Prof.
David P.
Landau
e-mail: dlandau@hal.physast.uga.edu trip: Shanghai, Nov 8 Northwest flight 25, 20:20pm; Talk 1 Monte Carlo Simulations of Domain Growth in Compressible Ising Model Talk2 Monte Carlo simulations of Bose-Einstein condensation
e-mail: hclee@sansan.phy.ncu.edu.tw
trip: Hangzhou, Nov 5 MF 898 15:00, Hangzhou Nov 18 MF 893 16:00. Apartment
Critical Genome
Prof. Jon Machta (Univ Massachusetts, Dept Phys, Amherst, MA 01003 USA) e-mail: machta@physics.umass.edu
trip: Xi'an, Nov. 10, CA 1205,09:45 pm;
Talk 1
Complexity, Parallel Computation and Statistical Physics Talk 2
Phase transitions in the random field Ising model
References.
Prof. Y.Q. Ma
( e-mail: myqiang@nju.edu.cn trip: Hangzhou, Nov., by bus. Yuquan hotel Entropy-driven ordering in soft matter In this talk, I first present a simple review of self-organizing behaviors in soft materials, and then examine in detail the entropic effects on the structural organization on the basis of the following three examples of our recent works: 1) phase behavior in thin film of confined colloid-polymer mixtures, 2) the organization in inclusion- membrane complexes, and 3) lateral organization in supported membrane on a geometrically patterned substrate. Our purpose is to discuss how to understand the physical mechanism of structural organization, and how to design and control novel structures of soft materials under the guidance of entropy driven ordering.
Prof. Mark A. Novotny
(Department of Physics & Astronomy e-mail: man40@ra.msstate.edu
trip: Xi’an, Nov 10 Japan Airline 5793 6:40 pm,
Talk 1 Non-equilibrium statistical physics applied to massively parallel computing Talk 3 Algorithms for long-time dynamic Monte Carlo simulations Prof. Yutaka Okabe
(Department of Physics, Tokyo
Metropolitan University, Japan) Kosterlitz-Thouless transition for diluted system
and duality relation Prof. Yuko Okamoto
(Department of Physics, School of Science, e-mail:
okamoto@phys.nagoya-u.ac.jp trip: Shanghai, Nov. 15 NH939 11:50, possibly leave
for Shanghai Nov 18, Monte Carlo and molecular dynamics simulations of
protein folding H.E. Stanley (Boston University, USA) e-mail: hes@bu.edu Cancelled due to unexpected events
Prof. Lei-Han Tang (Department of Physics, Hong Kong Baptist University
email:
lhtang@hkbu.edu.hk
Fluctuation-driven orbital ordering in a two-dimensional compass model Dr.
Jian.
Wang (Department
of Physics, National University of Singapore, e-mail: phcwj@hotmail.com trip: Hangzhou, Nov 15, Nov 19. Yuquan hotel Thermal Transport in Carbon Nanotubes
In this talk, we first review some recent progress of thermal transport in nano-structured materials, such as universal thermal conductance. We then present simulation results on thermal transport in carbon nanotubes, both for the ballistic transport and nonlinear cases. A mode-dependent energy transmission across a nanotube junction was calculated with the scattering boundary method within lattice dynamic approach. Nonlinear phonon scatterings in carbon nanotubes are considered both from the phenomenological point and the first-principle view. Nonequilibrium Green’s function is developed to describe thermal transport in nanotubes.
Dr. Bao-Sheng Yuan E-mail: yuanbaosheng@hotmail.com
trip: Hangzhou, Nov 15 CZ3803 12:50PM; Scaling, Clustering and Dynamics of Volatility in Financial Time Series Scaling, clustering and dynamics of volatility are central issues in theory of financial time series (FTS) and practice of the financial market. In this talk, we first present a new universal feature of volatility in FTS: when the conditional probability distributions of financial asset returns are rescaled by their scale factors, they collapse into a universal curve with a power-law tail. Such universality is so generic so that it holds true irrespective of the magnitudes of the previous returns, the time durations on which the returns are measured, and the financial assets involved. We next introduce a simple phenomenological model to explain and reproduce the volatility dynamics observed in real FTS. The model not only clearly illustrates a dynamical mechanism for the emergence of the volatility dynamics but also overcomes a number of important shortcomings of the most commonly used GARCH model. We finally suggest an explanation on the underlying mechanism of the volatility dynamics with a microscopic market model we developed recently: the heterogeneous and dynamic risk aversion of market agents is a key mechanism responsible for the emergence of the volatility dynamics in FTS. Prof. Yi-Cheng Zhang (Freiburg University, Switzerland)
e-mail:
yi-cheng.zhang@unifr.ch
Heat Conduction model for social-econonic computation Prof. Fan Zhong (Zhongshan University, China) e-mail: stszf@mail.sysu.edu.cn trip: Hangzhou, Nov 16 20:00, Hangzhou Nov 20. Yuquan hotel Renormalization group theory of first-order phase transitions
Phase transitions are of great
importance in a diversity of fields. They are usually classified into
continuous phase transitions and first-order phase transitions (FOPTs).
Whereas the former has a well-developed theoretical framework of the
renormalization-group (RG) theory, no general theory has yet been developed
for the latter that appear far more frequently. Focusing on the dynamics of
a generic FOPT in the $\phi^{4}$ model below its critical point, we show by
a field-theoretic RG method that it is governed by an unexpected unstable
fixed point of the corresponding $\phi^{3}$ model. Accordingly, it exhibits
a distinct scaling and universality behavior with unstable exponents
different from the critical ones. Prof. Boming Yu (Huazhong University of Science and Technology, Wuhan 430074, China) e-mail: yu3838@public.wh.hb.cn trip: cancelled The thermal conductivity of nanofluids by Monte Carlo simulations
Dr. Hisashi Okumura (Department
of Physics, School of Science, Nagoya Univ,
trip: Shanghai, Nov. 15 NH939 11:50, possibly leave for Shanghai Nov 18,
Generalized Isobaric-Isothermal Molecular
Dynamics Simulations of Alanine Dipeptide Prof. Pavel V. Prudnikov e-mail:
trip: Hangzhou, Nov 11, Hangzhou Nov 20 Numerical investigation of critical behavior of the three-dimensional diluted Ising model The critical behavior of the three-dimensional randomly disordered Ising ferromagnet is an outstanding problem in both condenced matter and statistical physics. The effect of the fluctuations of the quenched random disorder on the critical behavior is of main interest. Using Monte Carlo simulations we study the site-diluted Ising model in a wide dilution range. For samples with different spin concentrations we accurately determine by method from [1] finite size scaling functions which are expressed in terms the variable x=ζL/L, where ζL is the correlation length in a finite system of size L. Data for the three-dimensional diluted Ising model, taken at different temperatures in the critical range and for different size lattices, show excellent data collapse over the entire range of scaling variable for susceptibility and correlation length. From these finite size scaling functions we determined critical temperatures and exponents with rather high accuracy with the use corrections to scaling. The obtained both scaling functions and values of exponents demonstrate the existence two classes of universal critical behavior of diluted Ising systems with different characteristics for weakly and highly disordered systems. The obtained values of the exponents are in a good agreement with experimental results [2] and for weakly disordered systems with results of the field-theoretic description [3].
[1] Kim J.-K., Souza A.J.F., Landau D.P. , Phys.Rev. E54, 2291 (1996). [2] Folk R., Holovatch Yu., Yavorskii, Phys.Usp. 173, 175 (2003).
[3] Pakhnin D.V., A.I.Sokolov A.I., Phys. Rev. B61, 15130 (2000); Prof. Vladimir V. Prudnikov e-mail: prudnikv@univer.omsk.su
trip: Hangzhou, Nov 11, Hangzhou Nov 20 (Mrs. Prudnikov)
Short-time
critical dynamics of systems with long-range correlated disorder In this work Monte Carlo simulations of the short-time dynamic behavior are reported for three-dimensional Ising and XY models with long-range correlated disorder at criticality, in the case corresponding to linear defects. We analyze the critical short-time dynamics in systems with spin concentration p=0.8 starting separately from ordered and disordered initial states. The static and dynamic critical exponents computed under these two conditions with the use of the corrections to scaling are compared. The obtained values of the exponents are in a good agreement with results of the field-theoretic description of the critical behavior of these models in the two-loop approximation [1] and with our results of Monte Carlo simulations of three-dimensional Ising model in equilibrium state [2].
[1] Prudnikov V.V., Prudnikov P.V., Fedorenko A.A. Field-theory approach to critical behavior of systems with long-range correlated defects, Phys. Rev. В62, 8777-8786 (2000). [2] Dorofeev S.V., Prudnikov V.V. Monte Carlo studies of 3D Ising model with long-range correlated defects, Bulletin of Omsk University, No.4., P.28-30(2004).
trip: Hangzhou, Nov 15 OZ359 14:20; Nov 19 OZ360 15:50. Yuquan hotel
Talk 1 A High Robustness and Low Cost Model for Cascading Failures We study numerically the cascading failure problem by using artificially created scale-free networks and the real network structure of the power grid. The capacity for a vertex is assigned as a monotonically increasing function of the load (or the betweenness centrality). Through the use of a simple functional form with two free parameters, revealed is that it is indeed possible to make networks more robust while spending less cost. We suggest that our method to prevent cascade by protecting less vertices is particularly important for the design of more robust real-world networks to cascading failures. Talk2 Optimizing synchronizability of complex networks In this paper, we investigate the factors that affect the synchronization of system of coupled oscillators on networks. With an optimization approach, we find that even the degree variation is given, the network synchronizability can still be improved. The optimal network show some statistical properties. A network with lower degree of clustering, without modular structure and disassortative correlation may be easy to synchronize. Moreover, by measuring the loop structure of the optimal network, we find that the optimal network contains few number loops of size 3 to 5. These results may provide some insights into network design. Dahui Wang (Department of System Science, Beijing Normal University, Beijing 100875, China) e-mail: wangdh@bnu.edu.cn
trip: Nov 15 - 19 Yuquan hotel Critical Phenomena Emerging far
from the Self-Organized Critical State in Sandpile In Bak, Tang and Wiesenfeld's sandpile model, criticality will be observed when the sandpile evolves into the self-organized critical state. However, we ˉnd that criticality could emerge far from the self-organized critical state. This observation urges further research to discriminate different mechanisms of the 1 /f noise.Prof. C.Y. Lin
(Department of Physics, National Chung
Cheng University, e-mail: lincy@phy.ccu.edu.tw trip: Hangzhou, Nov, 15 2:00 PM ; Nov 18
Shi-zeng Lin *
(Computational Materials Science Center, National Institute for Materials
Science, e-mail: LIN.Shizeng@nims.go.jp trip: Hangzhou, Nov 15 12:15, Hangzhou, Nov 19 13:15, Yuquan hotel
Thermodynamic and structural quantities at 2D melting
We present numerical simulation of 2D melting with dipole-dipole interactions. A distinct hexatic phase is detected from the bond orientational correlation function. All measured structural quantities are compatible with the KTHNY theory. At the second stage, we measure the distribution of energy with the Wang-Landau algorithm. A double-peak structure of the distribution of the potential energy is observed with small system sizes. As the system size increases, two peaks tend to merge. The finite-size behavior of this two-peak structure is quite different from that of 1st order phase transitions. Our results exclude the possibility of a 1st order phase transition and imply that the thermodynamic quantities are more sensitive to the system size than the structural quantities do.
Prof.
F. Roshani (Alzahra
University, Vanak, Tehran, Iran, e-mail:
farinazz@yahoo.com trip: Shanghai, Nov 15 15:05, Yuquan hotel
Phase transition in autonomous reaction-diffusion systems
A general system of particles on a D-dimensional region with boundaries is considered. Particles can inject or extract at the boundary. Two general behaviors of such systems are investigated. The stationary behavior of the system, and the dominant way of the relaxation of the system toward its stationary system. Bases on the first behavior, static phase transitions (discontinuous changes in the stationary profiles of the system) are studied. Based on the second behavior, dynamical phase transitions (discontinuous changes in the relaxation-times of the system) are studied. The investigation is specialized on systems in which the evolution equation of one-point functions are closed (the autonomous systems). Dr. T. Shimada
(Department
of Applied Physics,
School of Engineering,
e-mail: shimada@ap.t.u-tokyo.ac.jp
trip: Shanghai, Nov 14 CA920 22:05, stay in Shanghai;
Universality in real and model
ecosystems
The mechanism of producing and
sustaining diversity in ecosystems, and the universal
characteristics in structure and temporal behavior of ecosystems,
has attracted broad interest. However theoretical studies on such
complex ecosystems have been faced with the difficulty of having a
natural and simple model which can yield a large system. For this
reason each aspects has tended to be argued separately.
We proposed a simple
population-dynamics-based model to solve this frustrated situation.
In our model, interaction terms among species have nonlinear form but that is scale-invariant against the population size. This interaction let the system spontaneously grow to rich structure under successive invasion of new species. Furthermore, the model reproduces the characteristic temporal statistics evaluated from fossil data such as the q-exponential distribution of the life span of species. Investigation of the emerging food web in the model also show that our model and field data shares similar structure. In particular, the results suggest that the universal scaling of the spanning tree, which has been discussed using the field data which consists only of less than 100 species, is valid for larger systems.
References
[1] T. Shimada, S. Yukawa and N. Ito, Self-Organization in an ecosystem", Artificial Life and Robotics, vol.6 (2002) p.78
[2] T. Shimada, S. Yukawa
and N. Ito, "Life-span of families in fossil data forms
q-exponential
distribution", Int. J. Mod. Phys. C14 (2003) p.1267
[3]
T. Shimada, Y. Murase, S. Yukawa, N. Ito, and K. Aihara, "A simple
model of evolving
ecosystems", to appear in Artificial Life and Robotics, vol.11
Tao Zhou *
( e-mail: zhutou@ustc.edu trip: Yuquan hotel Efficient routing, mixing routing and routing with jam-broadcasting: A survey of recent progress of traffic dynamics on complex networks
Recently, motivated by the pioneer works in revealing the small-world effect and scale-free property of various real-life networks, many scientists devote themselves to studying complex networks. In this presentation, I will give a survey about our recent progress on network traffic dynamics, including a few unpublished works. 1) Efficient routing on scale-free networks; 2) Efficient routing based on local information; 3) Critical phenomena and scaling behaviors of real and artificial traffic; 4) Routing strategy with jam-broadcasting; 5) Mixing routing strategy.
Refs.
1) T. Zhou, et al., Dyn. Contin. Discret. Impuls. Syst. Ser. B 13, 463(2006); G. Yan, T. Zhou, B. Hu, Z. -Q. Fu, and B. -H. Wang, Phys. Rev. E 73, 046108(2006); B. -H. Wang, and T. Zhou, arXiv: physics/0609031 2) C. -Y. Yin, B. -H. Wang, W. -X. Wang, T. Zhou, and H. -J. Yang, Phys. Lett. A351, 220 (2006); W. -X. Wang, B. -H. Wang, C. -Y. Yin, Y. -B. Xie, and T. Zhou, Phys. Rev. E 73, 026111 (2006) 3) S. -M. Cai, G. Yan, T. Zhou, P. -L. Zhou, Z. -Q. Fu, and B. -H. Wang, arXiv: physics/0608303; T. Zhou, Int. J. Mod. Phys. B (to be published);
Prof. Wei-Xing Zhou (East China
University of Science and Technology, Shanghai 200237, China) trip: Hangzhou Nov 15 - 20 Yuquan hotel Detrended fluctuation analysis for fractals and multifractals in high dimension Dr. Chenping Zhu (Department of Applied Phys., Nanjing Univ. of Aeronautics and Astronautics) e-mail: chenpingzhu@yahoo.com.cn trip: Hangzhou, Nov, Yuquan hotel Self-organized evolving scale-free network model with coupled local correlations and node state multifractality A novel scale-free network (SFN) model with small-world properties is presented. By making an altered version of the seceder model as the mechanism of local correlation of node states, we describe the individual character of being different from others, and we couple the evolution of topological structure with updating of node states to reveal self-organized behavior of the system by numerical simulation. Not only structural properties, such as power-law degree distribution p(k), large clustering coefficient C, short path length L, power-law correlations of both C(k) and assortativity r(N) can emerge out from the evolution, but also functional aspect reflected by multifractality of collective behavior of node states w(i) emerge out simultaneously. In addition, the spontaneous ranking behavior of node states gives support to the assumption of lately ranking model on SFN with an independent underlying mechanism. Junwen Mao (F) (Huzhou Normal University, China) e-mail: jwmao@hutc.zj.cn,jwmao@zimp.zju.edu.cn trip:
Recent progress on heat conduction in one-dimensional gas channels B. Zheng (Zhejiang University, Zhejiang Institute of Modern Physics, Hangzhou 310027, China)
e-mail:
bozheng@zju.edu.cn,
Posters in the webpage
Prof. Bing-Hong Wang (Department of Modern Physics,
trip: Hangzhou, Nov 15 HU-7961 12:00; Hangzhou, Nov 16 8C-8258 18:45.
Ms. Ming Zhao
(F) *
( e-mail: zhaom17@mail.ustc.edu.cn trip: Yuquan hotel
Better synchronizability predicted by a new coupling method Ms Wenjie Bai (F) * (Dept
of Modern Physics, Univ of Science and Technology of China) trip: Hangzhou, Yuquan hotel Epidemic spreading on heterogeneous networks with identical
infectivity Mr. Jie Ren * (Dept of Modern Physics, Univ of Science and Technology of China) e-mail: renjie@mail.ustc.edu.cn trip: Yuquan hotel Co-evolution of Prisoner’s Dilemma Game and Networks Jie Ren1, Wenxu Wang1, 2, Guanrong Chen2, Binghong Wang1 1. The Center of Nonlinear Science, University of Science and Technology, Hefei 230026, China) 2. Department of Electronic Engineering, City University of Hong Kong, HK SAR, China) Game theory provides a useful framework for describing the evolution of systems consisting of selfish individuals. The prisoner’s dilemma game (PDG) as a metaphor for investigating the evolution of cooperation has drawn considerable attention. In the PDG, unstable cooperation is contrary to the real observations and this disagreement motivates numerous extensions of the original model to better reproduce the emergence and persistence of cooperation. Enlightened by the work of Nowak and May, who figured out that the PDG with a simple spatial structure can induce emergence of cooperation, recent attention has been focused on the effect of the underlying network structure on the cooperative behavior in the game. With recent discoveries of small-world and scale-free structural features in the real-world networks, evolutionary games are naturally considered on networks with these kinds of properties. Interestingly, Santos and Pacheco found that “scale free networks provide a unifying framework for the emergence of cooperation”. Most studies of evolutionary games over networks are based on static network structures. However, it has been pointed out that the network structure may coevolve with the game, where each individual would choose its co-players to gain more benefits, which induces the evolution of their relationship network. From this perspective, in the present paper we propose an evolutionary network model with respect to the coevolution of the game and the network for characterizing the dynamics of some social and economic systems. In the model, each node represents an agent who plays the PDG with all its immediate neighbors simultaneously. Since growth is a common feature among networked systems, we assume that the network continuously grows by adding new agents to the existent network. We focus on the evolution of the network structure together with the cooperative behavior reflected by the density of cooperators and show how the dynamics of the game affect the growth pattern of the network and how the evolution of the network influence the cooperative behavior in the game. Simulation results show that the payoff preferential attachment mechanism leads to the emergence of a small-world and scale-free structural property. Moreover, we found that the network has positive assortative behaviors, which are consistent with the observations of some real social networks. In parallel, we found that the evolution of the underlying network structure remarkably promotes the cooperation level of the game. Moreover, we found that the wealth of the agent show a power-law distribution which is common in realistic world, called Pareto law. Our work might provide a new insight into the emergence of social networks and Pareto law of wealth distribution.
Mr. Sandro Wenzel
* (Institute for Theoretical
Physics, University Leipzig, | |||||||||||||||||||||||||||||||||||||||