Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43395
Title: Networks and their degree distribution, leading to a new concept of small worlds
Authors: EGGHE, Leo 
Issue Date: 2024
Source: Journal of informetrics (Print), 18 (3) (Art N° 101554)
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.
Keywords: Network theory;Lorenz curves;Generalized Lorenz majorization;Small worlds;Degrees;Comparison of networks;Trees;Neighboring array
Document URI: http://hdl.handle.net/1942/43395
ISSN: 1751-1577
e-ISSN: 1875-5879
DOI: 10.1016/j.joi.2024.101554
ISI #: 001260979500001
Rights: 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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