Insights from network data analysis that yield field observations
As part of Ethnomining, the April 2013 Ethnographymatters edition on combining qualitative and quantitative data, edited by Nicolas Nova, Fabien Girardin describes his work with networked/sensor data at the Louvre Museum in Paris.
Based on this inspiring case study, he discusses the overall process, how mixed-methods are relevant in his work, and what kind lessons he learnt doing this.
Fabien Girardin @fabiengirardin is Partner at the Near Future Laboratory, a research agency. He is active in the domains of user experience, data science and urban informatics.