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Michael:

 

A few of Damon Centola’s papers seem very relevant for what you are seeking.  See http://dcentola.scripts.mit.edu/docs/Centola%20and%20Macy%20Complex%20Contagion.pdf, http://dcentola.scripts.mit.edu/docs/Centola%20et%20al%20ComplexPropagation.pdf, and  http://dcentola.scripts.mit.edu/docs/Centola%20Spread%20of%20Behavior.pdf.  Also relevant are this paper by David Lazer and Allan Friedman (http://www.atypon-link.com/JGSCU/doi/abs/10.2189/asqu.52.4.667)  and this paper of mine with Ray Reagans (http://web.mit.edu/ewzucker/www/A_ShortCut_to_Efficiency.pdf)

 

 

------------------------------

Ezra W. Zuckerman Sivan

MIT Sloan School of Management

E62-488

Cambridge, MA 02142

+1-617-253-1918

http://web.mit.edu/ewzucker/www/

On leave during 2010-2011 at the Hebrew University Department of Sociology and Anthropology

 

 

From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Michael Haenlein
Sent: Monday, February 28, 2011 4:48 AM
To: [log in to unmask]
Subject: Realism of Watts-Strogatz model

 

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Dear all,

 

I am currently working on a manuscript that relies on an agent-based model simulation. To simulate different network structures I am using the algorithm proposed by Watts and Strogatz (1998) as implemented in the igraph package in R (function: watts.strogatz.game).

 

In order to position the manuscript correctly, I would need to show that a Watts-Strogatz model

(a) can be used as an approximation of a real life network and

(b) has previously been used successfully in agent-based models.

 

I'm therefore looking for references that

(a) either assess the fit of a Watts-Strogatz model based on real-life network data (and show it fits well) and/ or

(b) have used a Watts-Strogatz model for some agent-based model simulation.

 

If you know of any references that fit into these two categories, I would love to hear about them!

 

Thanks very much for your help in advance,

 

Michael

 

 

Watts, Duncan J. and Steven H. Strogatz (1998), "Collective dynamics of small-world networks," Nature, 393 (6684), 440 - 42

 

 

Michael Haenlein

Professor of Marketing

ESCP Europe

Paris, France

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