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Acta Physica Polonica B最新文献

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Physics Performance Studies of CBM-ToF Detector CBM-ToF探测器物理性能研究
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.9-a3
S. Gope, B. Bhattacharjee
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引用次数: 0
An Efficient Algorithm of Parity, Translational and Spin-rotational Symmetry for Chains 链宇称、平动和自旋对称的一种有效算法
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.8-a3
Y. Öz
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引用次数: 0
An Exact Prediction for Electric Quadrupole Transition Rates in (mathrm {^{104-110}Pd}) Isotopic Chain by Using IBM 2 利用ibm2对(mathrm {^{104-110}Pd})同位素链电四极跃迁速率的精确预测
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.10-a5
F. Mokhtari, H. Sabri, M. Mohseni
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引用次数: 0
A Theoretical Description of (2nu beta ^{-}beta ^{-}) Decay to the Excited (2^{+}) States (2nu beta ^{-}beta ^{-})衰变到(2^{+})激发态的理论描述
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.3-a3
S. Ünlü, N. Çakmak
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引用次数: 0
Route to Chaos in Discrete Two-dimensional Maps with Hyperbolic Double-well Potentials 具有双曲双势阱的离散二维映射的混沌路径
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.3-a1
A. M. Dikandé
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引用次数: 0
New Predictions on alpha Decay Half-lives of Superheavy Nuclei 超重核α衰变半衰期的新预测
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.9-a2
R. Dagtas, O. Bayrak
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引用次数: 0
RMF-based Microscopic Study of Ground-state Properties and Nuclear Shape Transitions in Even–Even Po Isotopes 基于rmf的偶偶Po同位素基态性质和核形状跃迁的微观研究
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.2-a3
V. Thakur, P. Kuamar, V. Kumar, S. Thakur, A. Sharma, R. Kumar, S. Dhiman
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引用次数: 0
Mittag–Leffler Relaxation in the Light of Asymptotic Analysis 基于渐近分析的Mittag-Leffler松弛
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.2-a2
G. Kneller, M. Saouessi
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引用次数: 0
On the ({mit Theta })-term in Electrodynamics 论电动力学中的({mit Theta })项
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.11-a1
P. Mazur, A. Staruszkiewicz
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引用次数: 0
Improved VoteRank Algorithm to Identify Crucial Spreaders in Social Networks 改进的VoteRank算法识别社交网络中的关键传播者
IF 0.5 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.5506/aphyspolb.53.8-a4
Yachao Li, X. Yang
In the field of complex networks, Identifying crucial spreaders with high propagation ability is an important aspect of research, especially in the background of the global spread of COVID-19. In view of this, a large number of ranking algorithms and their improved versions have been proposed to evaluate the importance of nodes in the network, such as degree centrality, betweenness centrality, and k-core centrality. However, most of these methods neglect to consider the average shortest path between important nodes in the process of node importance evaluation, which will be difficult to ensure that the initial crucial spreaders have a large influence on the network. Recently, the VoteRank algorithm proposed a new idea for identifying widely distributed key spreaders based on the voting mechanism, but there are some aspects of this algorithm that require improvement. In this paper, we propose a VoteRank improved by degree centrality, k-core, and h-index (DKHVoteRank) for identifying critical spreaders in the complex networks. We introduce additional metrics to optimize the voting mechanism of the VoteRank to ensure that our algorithm can identify a widely distributed spreaders with high importance in the network. We conducted simulation experiments based on the Susceptible-Infected-Recovered (SIR) model on 12 different complex network datasets, and the results show that our proposed algorithm performs significantly better than other benchmark algorithms in terms of propagation capability, propagation scale, and applicability of the algorithm.
在复杂网络领域,识别具有高传播能力的关键传播者是研究的一个重要方面,特别是在COVID-19全球传播的背景下。鉴于此,人们提出了大量的排序算法及其改进版本来评估网络中节点的重要性,如度中心性、中间中心性、k核中心性等。然而,这些方法在对节点重要性进行评估的过程中,大多忽略了考虑重要节点之间的平均最短路径,难以保证初始的关键传播者对网络具有较大的影响。最近,VoteRank算法提出了一种基于投票机制识别广泛分布的密钥传播者的新思路,但该算法存在一些需要改进的方面。在本文中,我们提出了一种由度中心性、k核和h指数改进的VoteRank (DKHVoteRank)来识别复杂网络中的关键传播者。我们引入了额外的指标来优化VoteRank的投票机制,以确保我们的算法能够识别出网络中分布广泛且高度重要的传播者。基于SIR模型在12个不同的复杂网络数据集上进行了仿真实验,结果表明本文算法在传播能力、传播规模、适用性等方面都明显优于其他基准算法。
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引用次数: 0
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Acta Physica Polonica B
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