Networks and their degree distribution, leading to a new concept of small worlds

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Informetrics Pub Date : 2024-06-25 DOI:10.1016/j.joi.2024.101554
Leo Egghe
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Abstract

The degree distribution, referred to as the delta-sequence of a network is studied. Using the non-normalized Lorenz curve, we apply a generalized form of the classical majorization partial order.

Next, we introduce a new class of small worlds, namely those based on the degrees of nodes in a network. Similar to a previous study, small worlds are defined as sequences of networks with certain limiting properties. We distinguish between three types of small worlds: those based on the highest degree, those based on the average degree, and those based on the median degree. We show that these new classes of small worlds are different from those introduced previously based on the diameter of the network or the average and median distance between nodes. However, there exist sequences of networks that qualify as small worlds in both senses of the word, with stars being an example. Our approach enables the comparison of two networks with an equal number of nodes in terms of their “small-worldliness”.

Finally, we introduced neighboring arrays based on the degrees of the zeroth and first-order neighbors.

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网络及其程度分布,引出小世界的新概念
我们研究了被称为网络德尔塔序列的度分布。接下来,我们引入了一类新的小世界,即基于网络中节点度的小世界。与之前的研究类似,小世界被定义为具有某些限制属性的网络序列。我们将小世界分为三类:基于最高度的小世界、基于平均度的小世界和基于中位度的小世界。我们证明,这些新类型的小世界不同于之前基于网络直径或节点间平均距离和中位距离的小世界。然而,也有一些网络序列同时符合这两种意义上的 "小世界",恒星就是一个例子。最后,我们引入了基于零阶和一阶邻居度的邻居阵列。
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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