英文标题：
《Hierarchical organization of H. Eugene Stanley scientific collaboration
  community in weighted network representation》
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作者：
Stanislaw Drozdz, Andrzej Kulig, Jaroslaw Kwapien, Artur Niewiarowski,
  Marek Stanuszek
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最新提交年份：
2017
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英文摘要：
  By mapping the most advanced elements of the contemporary social interactions, the world scientific collaboration network develops an extremely involved and heterogeneous organization. Selected characteristics of this heterogeneity are studied here and identified by focusing on the scientific collaboration community of H. Eugene Stanley - one of the most prolific world scholars at the present time. Based on the Web of Science records as of March 28, 2016, several variants of networks are constructed. It is found that the Stanley #1 network - this in analogy to the Erd\\H{o}s # - develops a largely consistent hierarchical organization and Stanley himself obeys rules of the same hierarchy. However, this is seen exclusively in the weighted network representation. When such a weighted network is evolving, an existing relevant model indicates that the spread of weight gets stimulation to the multiplicative bursts over the neighbouring nodes, which leads to a balanced growth of interconnections among them. While not exclusive to Stanley, such a behaviour is not a rule, however. Networks of other outstanding scholars studied here more often develop a star-like form and the central hubs constitute the outliers. This study is complemented by a spectral analysis of the normalised Laplacian matrices derived from the weighted variants of the corresponding networks and, among others, it points to the efficiency of such a procedure for identifying the component communities and relations among them in the complex weighted networks.
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中文摘要：
通过绘制当代社会互动的最先进元素，世界科学合作网络发展了一个极其复杂和异构的组织。本文对这种异质性的选定特征进行了研究，并通过关注目前世界上最多产的学者之一H.Eugene Stanley的科学合作社区来确定。基于截至2016年3月28日的科学记录网，构建了几种网络变体。研究发现，斯坦利1网络（这类似于Erd）发展了一个大体一致的等级组织，斯坦利自己也遵守相同等级的规则。然而，这仅见于加权网络表示。当这种加权网络演化时，现有的相关模型表明，权重的扩散会刺激相邻节点上的乘法突发，从而导致它们之间互连的平衡增长。然而，尽管这种行为并非斯坦利独有，但并不是一种规则。这里研究的其他杰出学者的网络更经常发展成星形形式，而中心枢纽构成了孤立点。这项研究通过对从相应网络的加权变量导出的归一化拉普拉斯矩阵进行谱分析来补充，除其他外，它指出了这种程序在识别复杂加权网络中的成分群落及其相互关系方面的效率。
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Computer Science        计算机科学
二级分类：Social and Information Networks        社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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一级分类：Quantitative Finance        数量金融学
二级分类：Computational Finance        计算金融学
分类描述：Computational methods, including Monte Carlo, PDE, lattice and other numerical methods with applications to financial modeling
计算方法，包括蒙特卡罗，偏微分方程，格子和其他数值方法，并应用于金融建模
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