Network-oriented modeling of multi-criteria homophily and opinion dynamics in social media

Olga Kozyreva, Anna Pechina, J. Treur*

*Corresponding author for this work

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

Abstract

In this paper we model the opinion dynamics in social groups in combination with adaptation of the connections based on a multicriteria homophily principle. The adaptive network model has been designed according to a Network-Oriented Modeling approach based on temporal-causal networks. The model has been applied to a dataset obtained from a popular social media platform – Instagram, using the official Instagram API. The network model has also been analysed mathematically, which provided evidence that the implemented model does what is expected.

Original languageEnglish
Title of host publicationSocial Informatics
Subtitle of host publicationProceedings of the 10th International Conference on Social Informatics, SocInfo'18
EditorsOlessia Koltsova, Dmitry I. Ignatov, Steffen Staab
PublisherSpringer Verlag
Pages322-335
Number of pages14
Volume1
ISBN (Electronic)9783030011291
ISBN (Print)9783030011284
DOIs
Publication statusPublished - 2018
Event10th International Conference on Social Informatics, SocInfo'18 - Saint Petersburg, Russian Federation
Duration: 25 Sep 201828 Sep 2018
Conference number: 10
https://socinfo2018.hse.ru/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11185 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Social Informatics, SocInfo'18
Abbreviated titleSocInfo
CountryRussian Federation
CitySaint Petersburg
Period25/09/1828/09/18
Internet address

Keywords

  • Adaptive network
  • Instagram
  • Multicriteria homophily
  • Opinion dynamics
  • Social media

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