Reasoning about opinion dynamics in social networks

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Abstract

This article introduces a logic to reason about a well-known model of opinion dynamics in social networks initially developed by Morris DeGroot as well as Keith Lehrer and Carl Wagner. The proposed logic is an extension of Łukasiewicz' fuzzy logic with additional equational expressivity, modal operators, machinery from hybrid logic and dynamic modalities. The model of opinion dynamics in social networks is simple enough to be easily grasped, but still complex enough to have interesting mathematical properties and applications. Thus, developing a logic to reason about this particular model serves as a paradigmatic example of how logic can be useful in social network analysis.
Original languageEnglish
JournalJournal of Logic and Computation
Volume29
Issue number7
Pages (from-to)1121–1137
Number of pages17
ISSN0955-792X
DOIs
Publication statusPublished - 20 Dec 2019
Externally publishedYes

Keywords

  • Opinion dynamics
  • fuzzy logic
  • many-valued logic
  • modal logic
  • social networks

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