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In the empirical study of 40 networks from 3 studies (Valente 1995), I
hypothesized a positive relationship between network level density and
adoption/diffusion. I found support for that hypothesis. In more
recent work (Valente et al in press) I found that change in density was
negatively associated with change in adoption for 20 community
coalitions, thus suggesting the importance of radiality or weak ties.
At the individual level, we expect and usually find, personal network
density to be negatively associated with adoption since dense personal
network restrict access to information in other parts of the networks
(Valente 1995; Valente & Foreman, 1998). Burt's arguments and data are
persuasive on this point.
I have also found centralized networks to be associated with more rapid
diffusion, but to some extent also less high prevalence (Valente 1995).
At the individual level, centrality is associated with earlier adoption
and this has bee replicated in many settings (Valente 1995; Valente et
al., 2005; Alexander et al., 2001 for examples).
Valente, T. W. (1995). Network Models of the Diffusion of Innovations.
Cresskill, NJ: Hampton Press.
Valente, T. W., Chou, C. P., & Pentz, M. A. (in press).The mediating
role of social network density on the effects of promotions to increase
adoption of evidence based substance abuse prevention. American Journal
of Public Health.
Valente, T.W., Unger, J., & Johnson, A. C. (2005). Do popular students
smoke? The association between popularity and smoking among middle
school students. Journal of Adolescent Health, 37, 323-329.
Alexander, C., Piazza, M. Mekos, D., & Valente, T. W. (2001). Peers,
schools, and adolescent cigarette smoking: An analysis of the national
longitudinal study of adolescent health. Journal of Adolescent Health,
Valente, T.W., & Foreman, R.K. (1998). Integration and radiality:
Measuring the extent of an individual's connectedness and reachability
in a network. Social Networks, 20, 89-109.
Bastian Mayershofer wrote:
>***** To join INSNA, visit http://www.insna.org *****
>I am currently writing on my thesis on social network analysis at the
>University of Cologne.
>My specific task is to investigate how the approved measures of SNA are
>related to the business performance of an organization.
>This won't be an empirical study since it is quite difficult to find
>sufficient data to run regression analyses. So I am planning to end with a
>set of hypotheses like the following:
>- "An organization which is positioned most central within a
>network of organizations will tend to have the highest business performance"
>- "Dense communication networks within an organization support the
>diffusion of innovations within the organizations and therefore affect
>business performance positively"
>Does anyone of you have experience with such relationships between the
>diverse measures of SNA and business performance?
>Do you have any suggestions how I could go on establishing such hypotheses?
>I am looking forward to your ideas.
>Thank you very much and best regards,
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To learn more about my evaluation book go to:
My personal webpage:
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.