Searching for optimal positions through directional data in a political competition model. (2018)
- Record Type:
- Journal Article
- Title:
- Searching for optimal positions through directional data in a political competition model. (2018)
- Main Title:
- Searching for optimal positions through directional data in a political competition model
- Authors:
- Lopez, Mª Dolores
Rodrigo, Javier
Lantaron, Sagrario - Abstract:
- This paper considers an application of directional data to political science. A model is presented in which the political preferences of the type of voters of a population are represented as points of the circumference unit with the political parties searching for optimal positions on this in order to gain the most support of that finite set of voter types. Strategies have been developed to search for optimal positions in the case of one party and Nash equilibrium positions are found in the game with two parties. The results reveal how the different parties redirect their stances to adapt to changing situations generated by economic or social circumstances affecting citizen preferences.
- Is Part Of:
- International journal of operational research. Volume 33:Number 1(2018)
- Journal:
- International journal of operational research
- Issue:
- Volume 33:Number 1(2018)
- Issue Display:
- Volume 33, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 33
- Issue:
- 1
- Issue Sort Value:
- 2018-0033-0001-0000
- Page Start:
- 127
- Page End:
- 138
- Publication Date:
- 2018
- Subjects:
- political competition -- game theory -- Nash equilibrium -- applications of OR techniques -- geometric programming -- exact algorithms -- optimisation -- OR models
Operations research -- Periodicals
003.05 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalID=170 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1745-7645
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9291.xml