Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

26-07-2021 | Regular Paper | Issue 9/2021

Knowledge and Information Systems 9/2021

A generative model for time evolving networks

Journal:
Knowledge and Information Systems > Issue 9/2021
Authors:
Muhammad Irfan Yousuf, Suhyun Kim
Important notes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abstract

Time evolving networks have some properties in common with complex networks, while some characteristics are specific to their time evolving nature. A number of interesting properties have been observed in time-varying complex networks such as densification power-law, shrinking diameter, scale-free degree distribution, big clustering coefficient and the emergence of community structure. Existing generative models either fail to simulate all the properties or undermine the social interactions between the existing nodes over time. In this paper, we propose a generative model called socializing graph model (SGM) for those networks that evolve over time. It is an iterative procedure consisting of two steps. In the first step, we add one new node to the network at every timestamp and connect it to an existing node using a preferential attachment rule. In the second step, we add a number of edges between the existing nodes in order to reflect the emergence of social interactions between nodes over time and mimic the evolution of real networks. We present empirical results to show that SGM generates realistic prototypes of evolving networks.

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 30 Tage kostenlos.

Literature
About this article

Other articles of this Issue 9/2021

Knowledge and Information Systems 9/2021 Go to the issue

Premium Partner

    Image Credits