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Network structure in CA models of contacts between employees

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to study processes in organizations which are result of many local interactions between organization's actors, more and more often computer simulations are used. One of the problematic issue in this kind of studies is to ensure that the outcomes of the models reflect in some way real-world social networks. In this article we compare network structures generated in two such models using as indicators the distribution of the number of contacts, the average path length between two nodes and the clustering coefficient.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems
Subtitle of host publicationTechnology and Applications, IDAACS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages628-633
Number of pages6
ISBN (Electronic)9781538606971
DOIs
Publication statusPublished - 3 Nov 2017
Event9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017 - Bucharest, Romania
Duration: 21 Sept 201723 Sept 2017

Publication series

NameProceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017
Volume2

Conference

Conference9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017
Country/TerritoryRomania
CityBucharest
Period21/09/1723/09/17

Keywords

  • agent-based modelling
  • cellular automata
  • network of contacts
  • simulation

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Science Applications
  • Information Systems
  • Computers in Earth Sciences
  • Artificial Intelligence
  • Computer Networks and Communications

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