15,188,772 research outputs found
Characteristics of Real Futures Trading Networks
Futures trading is the core of futures business, and it is considered as one
of the typical complex systems. To investigate the complexity of futures
trading, we employ the analytical method of complex networks. First, we use
real trading records from the Shanghai Futures Exchange to construct futures
trading networks, in which nodes are trading participants, and two nodes have a
common edge if the two corresponding investors appear simultaneously in at
least one trading record as a purchaser and a seller respectively. Then, we
conduct a comprehensive statistical analysis on the constructed futures trading
networks. Empirical results show that the futures trading networks exhibit
features such as scale-free behavior with interesting odd-even-degree
divergence in low-degree regions, small-world effect, hierarchical
organization, power-law betweenness distribution, disassortative mixing, and
shrinkage of both the average path length and the diameter as network size
increases. To the best of our knowledge, this is the first work that uses real
data to study futures trading networks, and we argue that the research results
can shed light on the nature of real futures business.Comment: 18 pages, 9 figures. Final version published in Physica
Link Prediction in Complex Networks: A Survey
Link prediction in complex networks has attracted increasing attention from
both physical and computer science communities. The algorithms can be used to
extract missing information, identify spurious interactions, evaluate network
evolving mechanisms, and so on. This article summaries recent progress about
link prediction algorithms, emphasizing on the contributions from physical
perspectives and approaches, such as the random-walk-based methods and the
maximum likelihood methods. We also introduce three typical applications:
reconstruction of networks, evaluation of network evolving mechanism and
classification of partially labelled networks. Finally, we introduce some
applications and outline future challenges of link prediction algorithms.Comment: 44 pages, 5 figure
On distance sets, box-counting and Ahlfors-regular sets
We obtain box-counting estimates for the pinned distance sets of (dense
subsets of) planar discrete Ahlfors-regular sets of exponent . As a
corollary, we improve upon a recent result of Orponen, by showing that if
is Ahlfors-regular of dimension , then almost all pinned distance sets of
have lower box-counting dimension . We also show that if
have Hausdorff dimension and is
Ahlfors-regular, then the set of distances between and has modified
lower box-counting dimension , which taking improves Orponen's result
in a different direction, by lowering packing dimension to modified lower
box-counting dimension. The proofs involve ergodic-theoretic ideas, relying on
the theory of CP-processes and projections.Comment: 22 pages, no figures. v2: added Corollary 1.5 on box dimension of
pinned distance sets. v3: numerous fixes and clarifications based on referee
report
Bi-parameter Potential theory and Carleson measures for the Dirichlet space on the bidisc
We characterize the Carleson measures for the Dirichlet space on the bidisc,
hence also its multiplier space. Following Maz'ya and Stegenga, the
characterization is given in terms of a capacitary condition. We develop the
foundations of a bi-parameter potential theory on the bidisc and prove a Strong
Capacitary Inequality. In order to do so, we have to overcome the obstacle that
the Maximum Principle fails in the bi-parameter theory.Comment: 44 pages, 5 figures, title changed, minor editin
A sharp threshold for van der Waerden's theorem in random subsets
We establish sharpness for the threshold of van der Waerden's theorem in
random subsets of . More precisely, for and
we say has the van der Waerden property
if any two-colouring of yields a monochromatic arithmetic progression of
length . R\"odl and Ruci\'nski (1995) determined the threshold for this
property for any k and we show that this threshold is sharp.
The proof is based on Friedgut's criteria (1999) for sharp thresholds, and on
the recently developed container method for independent sets in hypergraphs by
Balogh, Morris and Samotij (2015) and by Saxton and Thomason (2015).Comment: 19 pages, third version updated to format of Discrete Analysi
On automorphism groups of Toeplitz subshifts
In this article we study automorphisms of Toeplitz subshifts. Such groups are
abelian and any finitely generated torsion subgroup is finite and cyclic. When
the complexity is non superlinear, we prove that the automorphism group is,
modulo a finite cyclic group, generated by a unique root of the shift. In the
subquadratic complexity case, we show that the automorphism group modulo the
torsion is generated by the roots of the shift map and that the result of the
non superlinear case is optimal. Namely, for any we construct
examples of minimal Toeplitz subshifts with complexity bounded by whose automorphism groups are not finitely generated. Finally,
we observe the coalescence and the automorphism group give no restriction on
the complexity since we provide a family of coalescent Toeplitz subshifts with
positive entropy such that their automorphism groups are arbitrary finitely
generated infinite abelian groups with cyclic torsion subgroup (eventually
restricted to powers of the shift)
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