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I've used the rank order of the nominations as a proxy for tie strength
since spending time with someone may not necessarily equate with tie
strength. So I treat the first person named as stronger, than the
second, and second stronger than third, etc. We find this to be
correlated with risk behavior, people tend to engage in riskier behavior
with their closer ties. This can be done in both ego and socio-metric
Kenneth Chung wrote:
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>I am seeking ideas and suggestions on how one accounts for tie strength of
>an ego node, when you are studying over 100 ego nodes individually. In my
>study, relational data is collected from over 100 individuals, where each
>individual may elicit up to maximum 15 ties. The research model tests
>whether tie strength is associated with individual outcome, eg. attitude to
>Tie strength in my study is measured by:
>- closeness (4 point scale from very close to distant) and
>- frequency of contact (5 point scale ranging from daily to less often),
>although data on other variables such as 'time known' and 'relationship
>type' is also available.
>When it comes to calculation of tie strength for an ego node, how does one
>account for it? To the best of my knowledge and from what I've read from
>literature, one may
>1. use the average strength of ties for an ego (ie. sum the values of each
>tie from ego to alter and divide by count of ties). In this case, the values
>of each tie may be:
> (i) the average of closeness and frequency values, or
> (ii) the product of closeness and frequency values
>2. using 1, but take only the average of the top 5 or top 7 ties to the ego.
>This allows for comparison using a common baseline.
>Other approaches have been to consider tie strength of a node in terms of
>network proportions (see Reagans, R., & McEvily, B. (2003). Network
>Structure and Knowledge Transfer: The Effects of Cohesion and Range.
>Administrative Science Quarterly, 48, 240-267.), however, I understand this
>only works for sociocentric networks and not for ego networks as in my
>I'd like to confirm whether my limited understanding is correct and welcome
>comments and suggestions from you all.
>Kon Shing, Kenneth Chung
>School of Information Technologies
>University of Sydney
>NSW 2006, Australia
>P: +61 2 9351 5639
>F: +61 2 9351 3838
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Evaluating Health Promotion Programs (Oxford U. Press):
My personal webpage:
The Empirical Networks Project
Thomas W. Valente, PhD
Director, Master of Public Health Program
Department of Preventive Medicine
School of Medicine
University of Southern California
1000 S. Fremont Ave.
Building A Room 5133
Alhambra CA 91803
phone: (626) 457-6678
fax: (626) 457-6699
email: [log in to unmask]
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.