An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks

We studied the evolution of complex social networks over time. The elements of the networks are users, and the connections correspond to the interactions between them. At a particular moment in time, each node of a complex network has such characteristics as its degree, as well as the total degree o...

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Main Authors: Sergei Sidorov, Sergei Mironov, Alexey Grigoriev, Sophia Tikhonova
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/10/6/249
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author Sergei Sidorov
Sergei Mironov
Alexey Grigoriev
Sophia Tikhonova
author_facet Sergei Sidorov
Sergei Mironov
Alexey Grigoriev
Sophia Tikhonova
author_sort Sergei Sidorov
collection DOAJ
description We studied the evolution of complex social networks over time. The elements of the networks are users, and the connections correspond to the interactions between them. At a particular moment in time, each node of a complex network has such characteristics as its degree, as well as the total degree of its neighbors. Obviously, in the process of network growth, these characteristics are constantly changing due to the fact that new edges are attached to this node or its neighbors. In this paper, we study the dynamics of these characteristics over time for networks generated on the basis of a nonlinear preferential attachment mechanism, and we find both the asymptotics of their expected values and the characteristics of their spread around the mean. In addition, we analyze the behavior of these local characteristics for three real social networks. The applicability of the findings to actual problems in the study of social media in the digital humanities is discussed.
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spelling doaj.art-8f48404857944cea9a039feeb17353b42023-11-24T18:22:32ZengMDPI AGSystems2079-89542022-12-0110624910.3390/systems10060249An Investigation into the Trend Stationarity of Local Characteristics in Media and Social NetworksSergei Sidorov0Sergei Mironov1Alexey Grigoriev2Sophia Tikhonova3Faculty of Mathematics and Mechanics, Saratov State University, Saratov 410012, RussiaFaculty of Computer Science and Information Technology, Saratov State University, Saratov 410012, RussiaFaculty of Mathematics and Mechanics, Saratov State University, Saratov 410012, RussiaPhilosophy Department, Saratov State University, Saratov 410012, RussiaWe studied the evolution of complex social networks over time. The elements of the networks are users, and the connections correspond to the interactions between them. At a particular moment in time, each node of a complex network has such characteristics as its degree, as well as the total degree of its neighbors. Obviously, in the process of network growth, these characteristics are constantly changing due to the fact that new edges are attached to this node or its neighbors. In this paper, we study the dynamics of these characteristics over time for networks generated on the basis of a nonlinear preferential attachment mechanism, and we find both the asymptotics of their expected values and the characteristics of their spread around the mean. In addition, we analyze the behavior of these local characteristics for three real social networks. The applicability of the findings to actual problems in the study of social media in the digital humanities is discussed.https://www.mdpi.com/2079-8954/10/6/249social network analysiscomplex networksdigital humanitiesnonlinear preferential attachmentsocial networks
spellingShingle Sergei Sidorov
Sergei Mironov
Alexey Grigoriev
Sophia Tikhonova
An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
Systems
social network analysis
complex networks
digital humanities
nonlinear preferential attachment
social networks
title An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
title_full An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
title_fullStr An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
title_full_unstemmed An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
title_short An Investigation into the Trend Stationarity of Local Characteristics in Media and Social Networks
title_sort investigation into the trend stationarity of local characteristics in media and social networks
topic social network analysis
complex networks
digital humanities
nonlinear preferential attachment
social networks
url https://www.mdpi.com/2079-8954/10/6/249
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