Knowledge flows and the geography of networks: a strategic model of small world formation
Pascale Roux and
Nicolas Carayol
Post-Print from HAL
Abstract:
This paper aims to demonstrate that the strategic approach to link formation can generate networks that share some of the main structural properties of most real social networks. For this purpose, we introduce a spatialized variation of the Connections model (Jackson and Wolinsky 1996) to describe the strategic formation of links by agents who balance the benefits of forming links resulting from imperfect knowledge flows against their costs, which increase with geographic distance. We show, for intermediate levels of knowledge transferability, clustering occurs in geographical space and a few agents sustain distant connections. Such networks exhibit the small world property (high clustering and short average relational distances). When the costs of link formation are normally distributed across agents, asymmetric degree distributions are also obtained.
Keywords: Strategic network formation; Time-inhomogeneous process; Knowledge flows; Small worlds; Monte Carlo simulations (search for similar items in EconPapers)
Date: 2007-06-28
References: Add references at CitEc
Citations:
Published in International Conference on the Formation of social networks, Carré des sciences, Jun 2007, Paris, France
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Knowledge flows and the geography of networks: A strategic model of small world formation (2009) 
Working Paper: Knowledge flows and the geography of networks. A strategic model of small world formation (2009)
Working Paper: Knowledge Flows and the Geography of Networks. A Strategic Model of Small World Formation (2009) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00390735
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().