Project 90 (Partial Data)

Project 90 was a prospective study of the influence of network structure
on the dynamics of HIV transmission in a community of high-risk
heterosexuals. The data was collected between 1988 and 1992 in Colorado
Springs, CO, and the project was funded by the Centers for Disease Control
and Prevention (CDC). For more details of the Project 90 study, please see
the references below. Stephen Muth and John Potterat kindly provided the
data to Sharad Goel and Matthew Salganik in 2007, and it was later used in
their paper, S. Goel and M. J. Salganik (2010) "Assessing
respondent-driven sampling" Proceedings of the National Academy of
Sciences (PNAS). The release of these data allows others to replicate the
analyses of Goel and Salganik. Data Release Included in this release are
two tab-separated files, edges.tsv and nodes.tsv, that describe the
structure of the Project 90 network and the individual-level attributes of
study participants. edges.tsv: Each row indicates an edge in the network,
specified by a pair of node ids. Edges represent social, sexual, and/or
drug affiliation. Each edge is recorded twice. In other words, if there is
an edge between 12 and 15, there is also an edge between 15 and 12. There
are 43,288 edges in the file. nodes.tsv: Each row corresponds to a study
participant. In addition to node id, the following attributes are listed
for each individual: • Race (1 = Native American; 2 = Black; 3 =
Asian/Pacific Islander; 4 = White; 5 = Other) • Gender (0 = Male; 1 =
Female) • Sex Worker (0 = No; 1 = Yes) • Pimp (0 = No; 1 = Yes) • Sex Work
Client (0 = No; 1 = Yes) • Drug Dealer (0 = No; 1 = Yes) • Drug Cook (0 =
No; 1 = Yes) • Thief (0 = No; 1 = Yes) • Retired (0 = No; 1 = Yes) •
Housewife (0 = No; 1 = Yes) • Disabled (0 = No; 1 = Yes) • Unemployed (0 =
No; 1 = Yes) • Homeless (0 = No; 1 = Yes) Missing values are denoted by
'NA' and there are 5,492 individuals in the file. Please direct
any questions to Prof. Matthew Salganik. readme: In addition, this text
file gives one-way frequencies of all the individual attributes.