From Valente (1995) “Coleman, Katz and Menzel from Columbia University's Bureau of Applied Research studied the adoption of tetracycline by physiciams in four Illinois communities in 1954.[...] Tetracycline was a powerful and useful antibiotic just introduced in the mid-1950s”
A data frame with 125 rows and 59 columns:
city id
sequential respondent id
detail man
meetings, lectures, hospitals
colleagues
attend professional meets
professional age
lenght of reside in community
only practice here
science versus patients
position in home base
journal subscriptions
Percent alter adoption date imp
adoption month 1 to 18
threshold
corrected tl tl-exp level
category 1-init 2-marg 3-low tl
source of information
original respondent id
adoption date 1= 11/53
reconstructed med innov
date became aware
information source
most important info source
journals
drug houses
advisor nomination1
advisor nomination2
advisor nomination3
discuss nomination1
discuss nomination2
discuss nomination3
friends nomination1
friends nomination2
friends nomination3
number of pro journals receive
free time companions
med discussions during social
club membership
friends are doctors
young patients
nonpoverty patients
office visits
house calls
tendency to prescribe drugs
relative tendency to prescribe
perceived drug competition
physical proximity to other doc
home base hospital affiliation
specialty
belief in science
profesional age 2
prescription prone
contact with detail man
dichotomous personal preference
adoption month expected
recalls adopting
Number of community
Time of Adoption
Number of study in Valente (1995)
The collected dataset has 125 respondents (doctors), and spans 17 months of data
collected in 1955. Time of adoption of non-adopters has been set to month
18 (see the manual entry titled Difussion Network Datasets).
Coleman, J., Katz, E., & Menzel, H. (1966). Medical innovation: A diffusion study (2nd ed.). New York: Bobbs-Merrill
Valente, T. W. (1995). Network models of the diffusion of innovations (2nd ed.). Cresskill N.J.: Hampton Press.
Other diffusion datasets:
brfarmersDiffNet,
brfarmers,
diffusion-data,
fakeDynEdgelist,
fakeEdgelist,
fakesurveyDyn,
fakesurvey,
kfamilyDiffNet,
kfamily,
medInnovationsDiffNet