Next workshops:>> Workshop materialsThis workshop is an introduction to the R programming language and its tools to represent, manipulate and analyze egocentric or personal networks. No previous familiarity with R is required. Topics include: introduction to ego-network research and data;
Introduction to multilevel analysis with R for my seminars at the UniMi NASP graduate school and Behave Lab. Main page GitHub repository
Introduction to SNA with R for my PhD seminars at UniMi and University of Milan-Bicocca. Main page GitHub repository
The issue of how to use web-based survey platforms like Qualtrics for network data collection has come up repeatedly with students and collaborators during the Covid-19 pandemic. Joy Losee and Till Krenz at the University of Florida have written this
The UF Carpentries Club is hosting a R for the Social Sciences workshop on February 10-11th, 2020.They are currently in the process of recruiting helpers and instructors. The curriculum will follow the standard data carpentry curriculum with modules for Excel,
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
