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Research Interests: Engineering, Algorithms, Behavior, Systems Biology, Network Analysis, and 14 moreSports, Information Services, Complex System, Humans, Mathematical Sciences, Animals, Complex network, Florida, Physical sciences, Statistical Significance, Measurement Error, Null Model, Publications, and Great Britain
Research Interests: Engineering, Algorithms, Information Retrieval, Physics, Chemistry, and 21 moreInternational organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic(International organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic)
(International organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic)
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Research Interests: Engineering, Algorithms, Behavior, Systems Biology, Network Analysis, and 14 moreSports, Information Services, Complex System, Humans, Mathematical Sciences, Animals, Complex network, Florida, Physical sciences, Statistical Significance, Measurement Error, Null Model, Publications, and Great Britain
Research Interests: Engineering, Algorithms, Information Retrieval, Physics, Chemistry, and 21 moreInternational organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic(International organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic)
(International organizations, Biology, Transportation, Benchmarking, Medicine, Multidisciplinary, Software, Humans, Statistical Significance, Cluster Analysis, Community Structure, Community Dynamics, PLoS one, Information and Network Security, Theoretical Models, Fitness Function, International Organizations, Internet, Quantitative Method, Statistics as Topic, and Order statistic)
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We update a one-dimensional chain of Ising spins of length L with algorithms which are parameterized by the probability p for a certain site to get updated in one time step. The result of the update event itself is determined by the... more
We update a one-dimensional chain of Ising spins of length L with algorithms which are parameterized by the probability p for a certain site to get updated in one time step. The result of the update event itself is determined by the energy change due to the local change in the configuration. In this way we interpolate between the Metropolis algorithm at zero temperature when p is of the order of 1/L and L is large, and a synchronous deterministic updating procedure for p=1. As a function of p we observe a phase transition between the stationary states to which the algorithm drives the system. These are non-absorbing stationary states with antiferromagnetic domains for p>p c , and absorbing states with ferromagnetic domains for p≤p c . This means that above this transition the stationary states have lost any remnants of the ferromagnetic Ising interaction. A measurement of the critical exponents shows that this transition belongs to the universality class of parity conservation.
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From Boolean networks it is well known that the number of attractors as a function of the system size depends on the updating scheme which is chosen either synchronously or asynchronously. In this contribution, we report on a systematic... more
From Boolean networks it is well known that the number of attractors as a function of the system size depends on the updating scheme which is chosen either synchronously or asynchronously. In this contribution, we report on a systematic interpolation between synchronous and asynchronous updating in a one-dimensional chain of Ising spins. The stationary state for fully synchronous updating is