!["Tastes,](/sites/default/files/responsive-images/paper/Social-Networks-cover-October-2008.gif)
Tastes, Ties, and Time: A New (Cultural, Multiplex, and Longitudinal) Social Network Dataset Using Facebook.com
Abstract
Scholars have long recognized the potential of Internet-based communication technologies for improving network research—potential that, to date, remains largely underexploited. In the first half of this paper, we introduce a new public dataset based on manipulations and embellishments of a popular social network site, Facebook.com. We emphasize five distinctive features of this dataset and highlight its advantages and limitations vis-à -vis other kinds of network data. In the second half of this paper, we present descriptive findings from our first wave of data. Subgroups defined by gender, race/ethnicity, and socioeconomic status are characterized by distinct network behaviors, and students sharing social relationships as well as demographic traits tend to share a significant number of cultural preferences. These findings exemplify the scientific and pedagogical potential of this new network resource and provide a starting point for future analyses.
Citation:
K. Lewis, J. Kaufman, M. Gonzalez, A. Wimmer, and N.A. Christakis, "Tastes, Ties, and Time: A New (Cultural, Multiplex, and Longitudinal) Social Network Dataset Using Facebook.com" Social Networks, 30(4): 330-342 (October 2008)