Population invariance properties of social and economic networks. (1st August 2017)
- Record Type:
- Journal Article
- Title:
- Population invariance properties of social and economic networks. (1st August 2017)
- Main Title:
- Population invariance properties of social and economic networks
- Authors:
- Chun, Youngsub
Hong, Sunghoon
Koh, Bong Chan - Abstract:
- Abstract: This paper investigates how a pairwise stable network changes upon the arrival of a new agent. Comparing the new networks obtained for the society after the arrival of a new agent with the initially pairwise stable network, we propose four different population invariance properties of a network: link invariance, distance invariance, connectedness invariance, and network invariance. We show that pairwise stability is incompatible with link invariance under certain assumptions on the allocation rule. However, if we consider specific models, positive results can be obtained. For instance, in the symmetric connections model, pairwise stability implies connectedness invariance.
- Is Part Of:
- International journal of economic theory. Volume 13:Number 3(2017:Sep.)
- Journal:
- International journal of economic theory
- Issue:
- Volume 13:Number 3(2017:Sep.)
- Issue Display:
- Volume 13, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 13
- Issue:
- 3
- Issue Sort Value:
- 2017-0013-0003-0000
- Page Start:
- 255
- Page End:
- 267
- Publication Date:
- 2017-08-01
- Subjects:
- network formation -- variable population -- pairwise stability -- invariance property
Economics -- Periodicals
330.01 - Journal URLs:
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http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1742-7363/issues ↗
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http://onlinelibrary.wiley.com/ ↗
http://www.blackwellpublishing.com/aims.asp?ref=1742-7355 ↗ - DOI:
- 10.1111/ijet.12128 ↗
- Languages:
- English
- ISSNs:
- 1742-7355
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.197400
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British Library HMNTS - ELD Digital store - Ingest File:
- 2952.xml