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3.0

Jun 30, 2018
06/18

by
Xuzhen Zhu; Hui Tian; Shimin Cai; Tao Zhou

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Link prediction plays an important role in understanding intrinsic evolving mechanisms of networks. With the belief that the likelihood of the existence of a link between two nodes is strongly related with their similarity, many methods have been proposed to calculate node similarity based on node attributes and/or topological structures. Among a large variety of methods that take into account paths connecting the target pair of nodes, most of which neglect the heterogeneity of those paths. Our...

Topics: Physics, Data Analysis, Statistics and Probability, Physics and Society, Computing Research...

Source: http://arxiv.org/abs/1402.6225

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2.0

Jul 22, 2021
07/21

by
Ling, Li; Yuan-Tao, Zhou; Yao, Tan; Xiao-Rong, Zhou; Bao-Ping, Pang

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Jun 30, 2018
06/18

by
Da-Cheng Nie; Ya-Hui An; Qiang Dong; Yan Fu; Tao Zhou

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Recent decade has witnessed the increasing popularity of recommender systems, which help users acquire relevant commodities and services from overwhelming resources on Internet. Some simple physical diffusion processes have been used to design effective recommendation algorithms for user-object bipartite networks, typically mass diffusion (MD) and heat conduction (HC) algorithms which have different advantages respectively on accuracy and diversity. In this paper, we investigate the effect of...

Topics: Computing Research Repository, Information Retrieval

Source: http://arxiv.org/abs/1402.5774

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57

Sep 21, 2013
09/13

by
Zimo Yang; Ai-Xiang Cui; Tao Zhou

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Recent empirical observations suggest a heterogeneous nature of human activities. The heavy-tailed inter-event time distribution at population level is well accepted, while whether the individual acts in a heterogeneous way is still under debate. Motivated by the impact of temporal heterogeneity of human activities on epidemic spreading, this paper studies the susceptible-infected model on a fully mixed population, where each individual acts in a completely homogeneous way but different...

Source: http://arxiv.org/abs/1106.3554v1

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3.0

Jun 29, 2018
06/18

by
Linyuan Lü; Duanbing Chen; Xiao-Long Ren; Qian-Ming Zhang; Yi-Cheng Zhang; Tao Zhou

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Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to control the outbreak of epidemics, to conduct advertisements for e-commercial products, to predict popular scientific publications, and so on. The vital nodes identification attracts increasing attentions from both computer science and physical societies, with algorithms ranging from simply counting the immediate neighbors...

Topics: Social and Information Networks, Computing Research Repository, Physics, Physics and Society

Source: http://arxiv.org/abs/1607.01134

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3.0

Jun 30, 2018
06/18

by
Jian Gao; Bogang Jun; Alex "Sandy" Pentland; Tao Zhou; Cesar A. Hidalgo

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Industrial development is the process by which economies learn how to produce new products and services. But how do economies learn? And who do they learn from? The literature on economic geography and economic development has emphasized two learning channels: inter-industry learning, which involves learning from related industries; and inter-regional learning, which involves learning from neighboring regions. Here we use 25 years of data describing the evolution of China's economy between 1990...

Topics: Physics and Society, Physics, Economics, Quantitative Finance

Source: http://arxiv.org/abs/1703.01369

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Sep 17, 2013
09/13

by
Tao Zhou; Luo-Luo Jiang; Ri-Qi Su; Yi-Cheng Zhang

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In this paper, based on a weighted object network, we propose a recommendation algorithm, which is sensitive to the configuration of initial resource distribution. Even under the simplest case with binary resource, the current algorithm has remarkably higher accuracy than the widely applied global ranking method and collaborative filtering. Furthermore, we introduce a free parameter $\beta$ to regulate the initial configuration of resource. The numerical results indicate that decreasing the...

Source: http://arxiv.org/abs/0711.2506v1

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2.0

Jun 30, 2018
06/18

by
Ying Liu; Ming Tang; Tao Zhou; Younghae Do

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Identifying the most influential spreaders is an important issue in understanding and controlling spreading processes on complex networks. Recent studies showed that nodes located in the core of a network as identified by the k-shell decomposition are the most influential spreaders. However, through a great deal of numerical simulations, we observe that not in all real networks do nodes in high shells are very influential: in some networks the core nodes are the most influential which we call...

Topics: Physics, Physics and Society, Computing Research Repository, Social and Information Networks

Source: http://arxiv.org/abs/1409.5187

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38

Sep 21, 2013
09/13

by
Linyuan Lv; Ci-Hang Jin; Tao Zhou

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Predictions of missing links of incomplete networks like protein-protein interaction networks or very likely but not yet existent links in evolutionary networks like friendship networks in web society can be considered as a guideline for further experiments or valuable information for web users. In this paper, we introduce a local path index to estimate the likelihood of the existence of a link between two nodes. We propose a network model with controllable density and noise strength in...

Source: http://arxiv.org/abs/0905.3558v2

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57

Sep 18, 2013
09/13

by
Zimo Yang; Zi-Ke Zhang; Tao Zhou

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Voting online with explicit ratings could largely reflect people's preferences and objects' qualities, but ratings are always irrational, because they may be affected by many unpredictable factors like mood, weather, as well as other people's votes. By analyzing two real systems, this paper reveals a systematic bias embedding in the individual decision-making processes, namely people tend to give a low rating after a low rating, as well as a high rating following a high rating. This so-called...

Source: http://arxiv.org/abs/1209.0057v1

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4.0

Jun 30, 2018
06/18

by
Jin-Hu Liu; Tao Zhou; Zi-Ke Zhang; Zimo Yang; Chuang Liu; Wei-Min Li

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As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm...

Topics: Physics, Computing Research Repository, Physics and Society, Information Retrieval, Social and...

Source: http://arxiv.org/abs/1404.4936

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3.0

Jun 28, 2018
06/18

by
Jian-Guo Liu; Lei Hou; Xue Pan; Qiang Guo; Tao Zhou

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Similarity is a fundamental measure in network analyses and machine learning algorithms, with wide applications ranging from personalized recommendation to socio-economic dynamics. We argue that an effective similarity measurement should guarantee the stability even under some information loss. With six bipartite networks, we investigate the stabilities of fifteen similarity measurements by comparing the similarity matrixes of two data samples which are randomly divided from original data sets....

Topics: Physics and Society, Social and Information Networks, Computing Research Repository, Physics

Source: http://arxiv.org/abs/1512.01432

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53

Sep 23, 2013
09/13

by
Qian-Ming Zhang; Linyuan Lü; Wen-Qiang Wang; Yu-Xiao Zhu; Tao Zhou

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Uncovering factors underlying the network formation is a long-standing challenge for data mining and network analysis. In particular, the microscopic organizing principles of directed networks are less understood than those of undirected networks. This article proposes a hypothesis named potential theory, which assumes that every directed link corresponds to a decrease of a unit potential and subgraphs with definable potential values for all nodes are preferred. Combining the potential theory...

Source: http://arxiv.org/abs/1202.2709v2

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5.0

Jun 29, 2018
06/18

by
Yi Gao; Yan Yu; Tao Zhou; Huaixiang Huang; Qiang-Hua Wang

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Combining the recent scanning tunneling microscopy (STM) and angle-resolved photoemission spectroscopy (ARPES) measurements, we construct a tight-binding model suitable for describing the band structure of monolayer FeSe grown on SrTiO$_{3}$. Then we propose a possible pairing function, which can well describe the gap anisotropy observed by ARPES and has a hidden sign-changing characteristic. At last, as a test of this pairing function we further study the nonmagnetic impurity-induced bound...

Topics: Superconductivity, Condensed Matter

Source: http://arxiv.org/abs/1604.04679

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4.0

Jun 30, 2018
06/18

by
Jing Zhao; Lili Miao; Haiyang Fang; Qian-Ming Zhang; Min Nie; Tao Zhou

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Link prediction aims to uncover missing links or predict the emergence of future relationships according to the current networks structure. Plenty of algorithms have been developed for link prediction in unweighted networks, with only a very few of them having been extended to weighted networks. Thus far, how to predict weights of links is important but rarely studied. In this Letter, we present a reliable-route-based method to extend unweighted local similarity indices to weighted indices and...

Topics: Physics, Computing Research Repository, Physics and Society, Social and Information Networks,...

Source: http://arxiv.org/abs/1408.0845

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50

Sep 18, 2013
09/13

by
Tao Zhou

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In this Letter, we proposed a mixing navigation mechanism, which interpolates between random-walk and shortest-path protocol. The navigation efficiency can be remarkably enhanced via a few routers. Some advanced strategies are also designed: For non-geographical scale-free networks, the targeted strategy with a tiny fraction of routers can guarantee an efficient navigation with low and stable delivery time almost independent of network size. For geographical localized networks, the clustering...

Source: http://arxiv.org/abs/0705.0436v2

3
3.0

Jun 30, 2018
06/18

by
Jian Gao; Tao Zhou; Yanqing Hu

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We numerically study bootstrap percolation on Kleinberg's spatial networks, in which the probability density function of a node to have a long-range link at distance $r$ scales as $P(r)\sim r^{\alpha}$. Setting the ratio of the size of the giant active component to the network size as the order parameter, we find a critical exponent $\alpha_{c}=-1$, above which a hybrid phase transition is observed, with both the first-order and second-order critical points being constant. When $\alpha

Topics: Physics, Data Analysis, Statistics and Probability, Physics and Society

Source: http://arxiv.org/abs/1408.1290

3
3.0

Jun 29, 2018
06/18

by
Tao Zhou

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In general relativity, an inertial frame can only be established in a small region of spacetime, and a locally inertial frame is mathematically represented by a tetrad field in gravity. The tetrad field is not unique due to the freedom to perform a local Lorentz transformation in an inertial frame, and there exists freedom to choose the locally inertial frame at each spacetime. The local Lorentz transformations are known as non-Abelian gauge transformations for the tetrad field, and to fix the...

Topic: General Relativity and Quantum Cosmology

Source: http://arxiv.org/abs/1603.07571

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68

Sep 23, 2013
09/13

by
Tao Zhou; Jian-Guo Liu; Bing-Hong Wang

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In this comment, we investigate a common used algorithm proposed by Newman [M. E. J. Newman, Phys. Rev. E {\bf 64}, 016132(2001)] to calculate the betweenness centrality for all vertices. The inaccurateness of Newman's algorithm is pointed out and a corrected algorithm, also with O($MN$) time complexity, is given. In addition, the comparison of calculating results for these two algorithm aiming the protein interaction network of Yeast is shown.

Source: http://arxiv.org/abs/physics/0511084v2

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2.0

Jun 29, 2018
06/18

by
Chuang Ma; Tao Zhou; Hai-Feng Zhang

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An important fact in studying the link prediction is that the structural properties of networks have significant impacts on the performance of algorithms. Therefore, how to improve the performance of link prediction with the aid of structural properties of networks is an essential problem. By analyzing many real networks, we find a common structure property: nodes are preferentially linked to the nodes with the weak clique structure (abbreviated as PWCS to simplify descriptions). Based on this...

Topics: Social and Information Networks, Computing Research Repository, Physics, Physics and Society

Source: http://arxiv.org/abs/1601.05146

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3.0

Jun 29, 2018
06/18

by
Ratha Pech; Dong Hao; Liming Pan; Hong Cheng; Tao Zhou

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Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years. Link prediction is a fundamental issue to understand the mechanisms by which new links are added to the networks. We introduce the method of robust principal component analysis (robust PCA) into link prediction, and estimate the missing entries of the adjacency matrix. On one hand, our algorithm is...

Topics: Learning, Physics and Society, Physics, Computing Research Repository, Social and Information...

Source: http://arxiv.org/abs/1606.06812

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8.0

Jun 26, 2018
06/18

by
Xiaohua Wu; Tao Zhou

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In the present work, we consider a scenario where an arbitrary two-qubit pure state is applied to generate a randomly distributed key via the generalized EPR protocol. Using the twirling procedure to convert the pure state into a Werner state, the error rate of the key can be reduced by a factor of $2/3$. This effect indicates that entanglement is not the sufficient resource of the generalized EPR protocol since it is not increased in the twirling procedure. Instead of entanglement, the...

Topic: Quantum Physics

Source: http://arxiv.org/abs/1501.04902

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101

Sep 23, 2013
09/13

by
Tao Zhou

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We consider the unambiguous discrimination between two unknown qudit states in $n$-dimensional ($n\geqslant2$) Hilbert space. By equivalence of unknown pure states to known mixed states and with the Jordan-basis method, we demonstrate that the optimal success probability of the discrimination between two unknown states is independent of the dimension $n$. We also give a scheme for a physical implementation of the programmable state discriminator that unambiguously discriminate between two...

Source: http://arxiv.org/abs/1105.3004v2

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38

Sep 21, 2013
09/13

by
Tao Zhou; Z. D. Wang

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We propose a minimum single-band model for the newly discovered iron-based superconducting K$_x$Fe$_2$Se$_2$. Our model is found to be numerically consistent with the five-orbital model at low energies. Based on our model and the random phase approximation, we study the spin fluctuation and the pairing symmetry of superconducting gap function. The $(\pi/2,\pi/2)$ spin excitation and the $d_{x^2-y^2}$ pairing symmetry are revealed. All of the results can well be understood in terms of the...

Source: http://arxiv.org/abs/1108.3491v1

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44

Sep 19, 2013
09/13

by
Ping Li; Bing-Hong Wang; Han Sun; Pan Gao; Tao Zhou

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We propose a novel capacity model for complex networks against cascading failure. In this model, vertices with both higher loads and larger degrees should be paid more extra capacities, i.e. the allocation of extra capacity on vertex $i$ will be proportional to $ k_{i}^{\gamma} $, where $ k_{i}$ is the degree of vertex $i$ and $\gamma>0$ is a free parameter. We have applied this model on Barab\'asi-Albert network as well as two real transportation networks, and found that under the same...

Source: http://arxiv.org/abs/0708.4023v1

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4.0

Jun 28, 2018
06/18

by
Fanghui Liu; Tao Zhou; Irene Y. H. Gu; Jie Yang

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This paper presents a novel object tracking method based on approximated Locality-constrained Linear Coding (LLC). Rather than using a non-negativity constraint on encoding coefficients to guarantee these elements nonnegative, in this paper, the non-negativity constraint is substituted for a conventional $\ell_2$ norm regularization term in approximated LLC to obtain the similar nonnegative effect. And we provide a detailed and adequate explanation in theoretical analysis to clarify the...

Topics: Computing Research Repository, Computer Vision and Pattern Recognition

Source: http://arxiv.org/abs/1510.01148

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2.0

Jun 29, 2018
06/18

by
Qing Wang; Jian Gao; Tao Zhou; Zheng Hu; Hui Tian

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With the help of information and communication technologies, studies on the overall social networks have been extensively reported recently. However, investigations on the directed Ego Communication Networks (ECNs) remain insufficient, where an ECN stands for a sub network composed of a centralized individual and his/her direct contacts. In this paper, the directed ECNs are built on the Call Detail Records (CDRs), which cover more than 7 million people of a provincial capital city in China for...

Topics: Social and Information Networks, Computing Research Repository, Physics, Physics and Society

Source: http://arxiv.org/abs/1606.03911

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3.0

Jun 29, 2018
06/18

by
Ling Guo; Akil Narayan; Tao Zhou; Yuhang Chen

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In this work, we discuss the problem of approximating a multivariate function via $\ell_1$ minimization method, using a random chosen sub-grid of the corresponding tensor grid of Gaussian points. The independent variables of the function are assumed to be random variables, and thus, the framework provides a non-intrusive way to construct the generalized polynomial chaos expansions, stemming from the motivating application of Uncertainty Quantification (UQ). We provide theoretical analysis on...

Topics: Numerical Analysis, Mathematics

Source: http://arxiv.org/abs/1602.00995

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3.0

Jun 30, 2018
06/18

by
Wei Yi; Tao Zhou; Mingchi Xie; Yue Ai; Rick S. Blum

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In this paper, the problems of simultaneously detecting and localizing multiple targets are considered for noncoherent multiple-input multiple-output (MIMO) radar with widely separated antennas. By assuming a prior knowledge of target number, an optimal solution to this problem is presented first. It is essentially a maximum-likelihood (ML) estimator searching parameters of interest in a high dimensional space. However, the complexity of this method increases exponentially with the number G of...

Topics: Information Theory, Computing Research Repository, Mathematics

Source: http://arxiv.org/abs/1701.01532

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2.0

Jun 30, 2018
06/18

by
Dong Hao; Zhihai Rong; Tao Zhou

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Repeated game theory has been one of the most prevailing tools for understanding the long-run relationships, which are footstones in building human society. Recent works have revealed a new set of "zero-determinant (ZD)" strategies, which is an important advance in repeated games. A ZD strategy player can exert a unilaterally control on two players' payoffs. In particular he can deterministically set the opponent's payoff, or enforce an unfair linear relationship between the players'...

Topics: Physics, Quantitative Biology, Computer Science and Game Theory, Computing Research Repository,...

Source: http://arxiv.org/abs/1408.5208

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3.0

Jun 28, 2018
06/18

by
Tao Zhou; Yi Gao; Z. D. Wang

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We study theoretically the superconductivity in doped Weyl semimetals with an inversion symmetry based on the Bogoliubov-de Gennes equations. In principle, the two superconducting states, i.e., the zero momentum BCS-like pairing and the finite momentum Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) pairing are competing in this kind of systems. Our self-consistent calculation indicates that the BCS-type state may be the ground state. The competition between these two pairing states is studied in...

Topics: Superconductivity, Quantum Gases, Condensed Matter, Mesoscale and Nanoscale Physics

Source: http://arxiv.org/abs/1510.01051

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3.0

Jun 28, 2018
06/18

by
Long Huang; Bo You; Xiaohua Wu; Tao Zhou

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In this work, a quantum error correction (QEC) procedure with the concatenated five-qubit code is used to construct a near-perfect effective qubit channel (with a error below $10^{-5}$) from arbitrary noise channels. The exact performance of the QEC is characterized by a Choi matrix, which can be obtained via a simple and explicit protocol. In a noise model with five free parameters, our numerical results indicate that the concatenated five-qubit code is general: To construct a near-perfect...

Topic: Quantum Physics

Source: http://arxiv.org/abs/1511.00059

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4.0

Jun 30, 2018
06/18

by
Tao Zhou; Akil Narayan; Zhiqiang Xu

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In this work, we discuss the problem of approximating a multivariate function by discrete least squares projection onto a polynomial space using a specially designed deterministic point set. The independent variables of the function are assumed to be random variables, stemming from the motivating application of Uncertainty Quantification (UQ). Our deterministic points are inspired by a theorem due to Andr\'e Weil. We first work with the Chebyshev measure and consider the approximation in...

Topics: Mathematics, Numerical Analysis

Source: http://arxiv.org/abs/1401.0894

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Jun 28, 2018
06/18

by
Jin-Hu Liu; Jun Wang; Junming Shao; Tao Zhou

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To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growth are widely applied. However, computing these indices based on traditional economic census is usually costly and resources consuming, and more importantly, following a long time delay. In this paper, we analyzed nearly 200 million users' activities for four consecutive years in the largest social network (Sina...

Topics: Social and Information Networks, Physics and Society, Computing Research Repository, Physics

Source: http://arxiv.org/abs/1509.06805

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39

Sep 21, 2013
09/13

by
Tao Zhou; Jingxin Cui; Ye Cao

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We investigate the discrimination between photon polarizations when measured by moving detectors. Both unambiguous and minimum-error discriminations are considered, and we analyze the the optimal successful (correct) probability as a function of the apparatus' velocity. The Holevo bound for polarization discrimination is also discussed and explicit calculation shows that the Holevo bound and the optimal successful (correct) probability for unambiguous (minimum-error) discrimination...

Source: http://arxiv.org/abs/1204.5890v1

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Sep 17, 2013
09/13

by
Yi Gao; Tao Zhou; C. S. Ting; Wu-Pei Su

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The doping dependence of spin excitations in Ba(Fe$_{1-x}$Co$_{x}$)$_{2}$As$_{2}$ is studied based on a two-orbital model under RPA approximation. The interplay between the spin-density-wave (SDW) and superconductivity (SC) is considered in our calculation. Our results for the spin susceptibility are in good agreement with neutron scattering (NS) experiments in various doping ranges at temperatures (T) above and below the superconducting transition temperature T$_{c}$. For the overdoped sample...

Source: http://arxiv.org/abs/1003.2609v1

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10.0

Jun 28, 2018
06/18

by
Jian Gao; Tao Zhou

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Reputation is a valuable asset in online social lives and it has drawn increased attention. How to evaluate user reputation in online rating systems is especially significant due to the existence of spamming attacks. To address this issue, so far, a variety of methods have been proposed, including network-based methods, quality-based methods and group-based ranking method. In this paper, we propose an iterative group-based ranking (IGR) method by introducing an iterative reputation-allocation...

Topics: Social and Information Networks, Data Analysis, Statistics and Probability, Computing Research...

Source: http://arxiv.org/abs/1509.00594

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6.0

Jun 29, 2018
06/18

by
John D. Jakeman; Akil Narayan; Tao Zhou

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In this paper we propose an algorithm for recovering sparse orthogonal polynomials using stochastic collocation. Our approach is motivated by the desire to use generalized polynomial chaos expansions (PCE) to quantify uncertainty in models subject to uncertain input parameters. The standard sampling approach for recovering sparse polynomials is to use Monte Carlo (MC) sampling of the density of orthogonality. However MC methods result in poor function recovery when the polynomial degree is...

Topics: Numerical Analysis, Mathematics

Source: http://arxiv.org/abs/1602.06879

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4.0

Jun 28, 2018
06/18

by
Ying Liu; Ming Tang; Tao Zhou; Younghae Do

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Identifying the most influential spreaders is an important issue in controlling the spreading processes in complex networks. Centrality measures are used to rank node influence in a spreading dynamics. Here we propose a node influence measure based on the centrality of a node and its neighbors' centrality, which we call the neighborhood centrality. By simulating the spreading processes in six real-world networks, we find that the neighborhood centrality greatly outperforms the basic centrality...

Topics: Physics and Society, Social and Information Networks, Computing Research Repository, Physics

Source: http://arxiv.org/abs/1511.00441

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Sep 21, 2013
09/13

by
Tao Zhou; Ming Zhao; Bing-Hong Wang

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In this brief report, we propose a network model named crossed double cycles, which are completely symmetrical and can be considered as the extensions of nearest-neighboring lattices. The synchronizability, measured by eigenratio $R$, can be sharply enhanced by adjusting the only parameter, crossed length $m$. The eigenratio $R$ is shown very sensitive to the average distance $L$, and the smaller average distance will lead to better synchronizability. Furthermore, we find that, in a wide...

Source: http://arxiv.org/abs/cond-mat/0508368v2

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5.0

Jun 30, 2018
06/18

by
Wei Zeng; An Zeng; Hao Liu; Ming-Sheng Shang; Tao Zhou

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With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effiectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the...

Topics: Computing Research Repository, Information Retrieval

Source: http://arxiv.org/abs/1402.6132

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37

Jun 28, 2018
06/18

by
Ling-Jiao Chen; Zi-Ke Zhang; Jin-Hu Liu; Jian Gao; Tao Zhou

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Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized recommendation algorithms have been proposed and most of them are based on similarities, such as collaborative filtering and mass diffusion. Here, we propose a novel vertex similarity index named CosRA, which combines advantages of both the cosine index and the resource-allocation (RA) index. By applying the CosRA index...

Topics: Information Retrieval, Computing Research Repository, Data Analysis, Statistics and Probability,...

Source: http://arxiv.org/abs/1510.02348

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4.0

Jun 30, 2018
06/18

by
Tao Zhou; Yi Gao; Jian-Xin Zhu

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Recently it was revealed that the whole Fermi surface is fully gapped for several families of underdoped cuprates. The existence of the finite energy gap along the $d$-wave nodal lines ("nodal gap") contrasts the common understanding of the $d$-wave pairing symmetry, which challenges the present theories for the high-$T_c$ superconductors. Here we propose that the incommensurate diagonal spin-density-wave order can account for the above experimental observation. The Fermi surface and...

Topics: Superconductivity, Condensed Matter

Source: http://arxiv.org/abs/1406.5408

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3.0

Jun 29, 2018
06/18

by
Chao Fan; Yiding Liu; Junming Huang; Zhihai Rong; Tao Zhou

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Human behaviors exhibit ubiquitous correlations in many aspects, such as individual and collective levels, temporal and spatial dimensions, content, social and geographical layers. With rich Internet data of online behaviors becoming available, it attracts academic interests to explore human mobility similarity from the perspective of social network proximity. Existent analysis shows a strong correlation between online social proximity and offline mobility similari- ty, namely, mobile records...

Topics: Social and Information Networks, Computing Research Repository, Physics, Physics and Society

Source: http://arxiv.org/abs/1609.02669

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Jun 30, 2018
06/18

by
Qian-Ming Zhang; Xiao-Ke Xu; Yu-Xiao Zhu; Tao Zhou

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Numerous concise models such as preferential attachment have been put forward to reveal the evolution mechanisms of real-world networks, which show that real-world networks are usually jointly driven by a hybrid mechanism of multiplex features instead of a single pure mechanism. To get an accurate simulation for real networks, some researchers proposed a few hybrid models of mixing multiple evolution mechanisms. Nevertheless, how a hybrid mechanism of multiplex features jointly influence the...

Topics: Physics, Physics and Society, Computing Research Repository, Social and Information Networks

Source: http://arxiv.org/abs/1410.3519

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Sep 21, 2013
09/13

by
An Zeng; Linyuan Lü; Tao Zhou

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In this paper, we studied the strategies to enhance synchronization on directed networks by manipulating a fixed number of links. We proposed a centrality-based reconstructing (CBR) method, where the node centrality is measured by the well-known PageRank algorithm. Extensive numerical simulation on many modeled networks demonstrated that the CBR method is more effective in facilitating synchronization than the degree-based reconstructing method and random reconstructing method for adding or...

Source: http://arxiv.org/abs/1106.5906v1

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Jun 30, 2018
06/18

by
Yi Gao; Tao Zhou; Huaixiang Huang; Peiqing Tong; Qiang-Hua Wang

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The quasiparticle interference (QPI) patterns in BiS$_{2}$-based superconductors are theoretically investigated by taking into account the spin-orbital coupling and assuming the recently proposed $d^{*}_{x^{2}-y^{2}}$-wave pairing symmetry. We found two distinct scattering wave vectors whose evolution can be explained based on the evolution of the constant-energy contours. The QPI spectra presented in this paper can thus be compared with future scanning tunneling microscopy experiments to test...

Topics: Superconductivity, Condensed Matter

Source: http://arxiv.org/abs/1404.6861

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Sep 23, 2013
09/13

by
Gang Yan; Tao Zhou; Jie Wang; Zhong-Qian Fu; Bing-Hong Wang

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In this letter, we investigate the detailed epidemic spreading process in scale-free networks with links' weights that denote familiarity between two individuals and find that spreading velocity reaches a peak quickly then decays in a power-law form. Numerical study exhibits that the nodes with larger strength is preferential to be infected, but the hierarchical dynamics are not clearly found, which is different from the well-known result in unweighed network case. In addition, also by...

Source: http://arxiv.org/abs/cond-mat/0408049v3

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Jun 29, 2018
06/18

by
Dan Yang; Liming Pan; Tao Zhou

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The degree-degree correlation is important in understanding the structural organization of a network and the dynamics upon a network. Such correlation is usually measured by the assortativity coefficient $r$, with natural bounds $r \in [-1,1]$. For scale-free networks with power-law degree distribution $p(k) \sim k^{-\gamma}$, we analytically obtain the lower bound of assortativity coefficient in the limit of large network size, which is not -1 but dependent on the power-law exponent $\gamma$....

Topics: Data Analysis, Statistics and Probability, Physics, Physics and Society

Source: http://arxiv.org/abs/1602.04350

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Jun 29, 2018
06/18

by
Xiaobing Sunian; Yuwei Li; Tao Zhou

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Two unknown states can be unambiguously distinguished by a universal programmable discriminator, which has been widely discussed in previous works and the optimal solution has also been obtained. In this paper, we investigate the programmable unambiguous discriminator between two unknown "latitudinal" states, which lie in a subspace of the total state space. By equivalence of unknown pure states to known average mixed states, the optimal solution for this problem is systematically...

Topic: Quantum Physics

Source: http://arxiv.org/abs/1604.05926