***** To join INSNA, visit http://www.insna.org *****
Hi Allan, for structural aspects of personal networks, Chris McCarty and colleagues have shown that 20-30 randomly sampled from a larger list of elicited names (e.g., 40-60) produces sufficiently similar structural values as would the larger list. But you need to start from a larger list then sample, as the first 20-30 don't produce as accurate results. Eric
 

Christopher McCarty and Killworth, Peter Impact of Methods for Reducing Respondent

Burden on Personal Network Structural Measures Social Networks Social Networks 29: 300-315

(2007)

 
 
Eric C. Jones, Ph.D.
Department of Anthropology
University of North Carolina at Greensboro
1003 Spring Garden St, 426 Graham Bldg
Greensboro NC 27412-5001
office: 336-334-4133
fax: 336-334-5674
[log in to unmask]

-----Social Networks Discussion Forum <[log in to unmask]> wrote: -----

To: [log in to unmask]
From: Allan Clifton <[log in to unmask]>
Sent by: Social Networks Discussion Forum <[log in to unmask]>
Date: 2010-05-06 13h52
Subject: Minimum network size

*****  To join INSNA, visit http://www.insna.org  *****

Hello all- is there an accepted minimum/desirable network size required
to get accurate measures of network variables like centrality, cliques,
density, etc.? Although you could compute these measures in a network of
5 people, it seems like a less reliable value than you would get from a
network of 100 (although that might just be my impression, generalizing
from non-network statistical analyses). Any suggestions for literature
on this topic would be appreciated.

Many thanks,
Allan Clifton

--
Allan Clifton, PhD
Assistant Professor
Department of Psychology
Vassar College
(845) 437-7381

[log in to unmask]
http://www.personalitystudies.com

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.

_____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.