Getting from flat data a world of relationships to visualize with Gephi
Getting from flat data a world of relationships to visualize with Gephi
Abstract
Network analysis offers a perspective of the data that broadens and enriches any investigation. Many times we deal with data in which the elements are related, but we have them in a tabulated format that is difficult to import into network analysis tools.
Relationship data require a definition of nodes and connections. Both parts have different structures and it is not possible to structure them in a single table, at least two would be needed. Data analysis tools define different input formats, one of them is GDF, which is characterized by its simplicity and versatility.
In this session, we will see how we can extract the relationships between elements of a file in CSV format to generate a file in GDF format to work with Gephi.
Requirements
R packages readr, hash and stringr.
About the speaker
She received a M.Sc. in Computer Science from the Universidad Politécnica in Madrid, and a PhD degree in Telematics from the Universidad Carlos III in Madrid, where she worked as an assistant professor. She also worked for 20 years in R&D for Telefónica. Her main research interest focuses on patterns in social media networks, such as the characterization of users, how messages are spread, and analysis of events.
