Analysing Large Mobile Messaging Networks Data Using Apache Spark Graphframes

The lab will use an applied example to help participants conduct a virtual social network analysis with simulated data. Our focus will be on showing participants how social network analysis can be implemented at scale; and to illustrate how insights on social diffusion and peer influence mechanisms within mobile messaging services can be found. Lab participants will work through an applied example, using social network analysis to model contagion processes (i.e. spread of fake news) triggered by a behaviour change intervention. The example will use Apache SPARK, a free open-source software package and the tech industry standard for Big Data analysis. Participants need to pre-register in order to receive information on (open source) software installations on their laptops before attending the workshop.

Speakers include:

  • Eli Grant, Head of Research, Praekelt
  • Nathan Begbie, Data Scientist, Praekelt
  • Charles Copley, Head of Data Science, Praekelt