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Small World Networks with Segregation Patterns and Brokers
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Edoardo Gallo
Published/Copyright:
September 14, 2012
Abstract
Individuals' cognitive knowledge of their social networks is affected by systematic biases. This paper investigates the role of the mean degree bias, i.e. the tendency to underestimate the number of connections of others, in determining the structure of stable networks. It develops a strategic network formation model where agents have heterogeneous knowledge of the network: cognizant agents know the whole network, while ignorant ones are less knowledgeable and biased. For a broad range of parameters, all cognitively stable (CS) networks are small world networks with segregation patterns and brokers. There are also some CS networks with one hub.
KEYWORDS:: network; cognitive network; mean degree bias; small world; broker; betweenness centrality; segregation
Published Online: 2012-9-14
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Keywords for this article
network;
cognitive network;
mean degree bias;
small world;
broker;
betweenness centrality;
segregation
Articles in the same Issue
- Editorial Introduction
- Special Issue Introduction: Social Networks and Economics
- Article
- It's all about Connections: Evidence on Network Formation
- Equilibrium Selection in Network Coordination Games: An Experimental Study
- Network Multipliers: The Optimality of Targeting Neighbors
- Targeting Informative Messages to a Network of Consumers
- Formation of Citation Networks by Rational Players and The Diffusion of Ideas
- Small World Networks with Segregation Patterns and Brokers
- Multilevel Mediation in Symmetric Trees
- Does Homophily Predict Consensus Times? Testing a Model of Network Structure via a Dynamic Process
- Organized Crime Networks: an Application of Network Analysis Techniques to the American Mafia
- Urban Crime and Ethnicity
