Reasoning about opinion dynamics in social networks
(2019) In Journal of Logic and Computation 29(7). p.1121-1137- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/14511134-fdea-4afc-b5a0-09e2eb3fcd22
- author
- Hansen, Jens Ulrik LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- fuzzy logic, many-valued logic, modal logic, Opinion dynamics, social networks
- in
- Journal of Logic and Computation
- volume
- 29
- issue
- 7
- pages
- 17 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:85081714423
- ISSN
- 0955-792X
- DOI
- 10.1093/logcom/exv083
- language
- English
- LU publication?
- yes
- id
- 14511134-fdea-4afc-b5a0-09e2eb3fcd22
- date added to LUP
- 2020-03-27 12:03:07
- date last changed
- 2022-03-26 03:02:15
@article{14511134-fdea-4afc-b5a0-09e2eb3fcd22, abstract = {{<p>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.</p>}}, author = {{Hansen, Jens Ulrik}}, issn = {{0955-792X}}, keywords = {{fuzzy logic; many-valued logic; modal logic; Opinion dynamics; social networks}}, language = {{eng}}, number = {{7}}, pages = {{1121--1137}}, publisher = {{Oxford University Press}}, series = {{Journal of Logic and Computation}}, title = {{Reasoning about opinion dynamics in social networks}}, url = {{http://dx.doi.org/10.1093/logcom/exv083}}, doi = {{10.1093/logcom/exv083}}, volume = {{29}}, year = {{2019}}, }