Sociology @ University of Florida
Criminological data can be very costly or hard to access as they contain sensitive information on criminal behavior and victimization. Recent developments in data science and computing, however, are opening up new ways to gather this once elusive data. In
Registration is open for the next INSNA international Sunbelt conference on social network analysis in Utrecht, the Netherlands (June 26-July 1, 2018).I’ll teach a workshop on ego-network analysis with R, now in its 8th edition. The workshop includes two 3-hour
Ryan Thomson and I experimented with Massmine, a Raspberry Pi, and R to collect and analyze Twitter data for sociological research. We recently wrote about this for the website of the University of Florida Bureau of Economic and Business Research.(Continues
I’ll teach two workshops/short courses on social network analysis with R in June and July 2017 at the Institute of Health and Society, Université Catholique de Louvain (UCL), and at the Department of Social and Cultural Anthropology, Universitat Autònoma de
R is known for its large and ever growing users community. This has generated a huge amount of learning resources available online over the years — including books, tutorials, Youtube videos, slides, blog posts, Q&A websites, full online courses and
Regular registration is now open for the XXXVI Sunbelt Conference of the International Network for Social Network Analysis in Newport Beach, California, on April 5-10, 2016. My workshop on ego-network analysis with R will be part of the conference with
I recently created an interactive visualization of my collaboration ego-network. Some colleagues have asked for more details, so here’s this post.D3 is a JavaScript library to create and manipulate data-driven documents. One of the many things people can do in
I’ll teach an introductory workshop on ego-network analysis with R at the 2015 Sunbelt conference of the International Network for Social Network Analysis. This will be followed by a second workshop on more advanced methods of ego-network analysis in R,