Proposals for Social Network Analysis of Big Data
This presentation proposes the analysis of information based on data binarization. The idea is to build three-dimensional binary matrices formed by 1) temporal or spatial sets, 2) scenarios and 3) events or characteristics, supported by matrices with their attributes. The treatment of this structure is based on the methodology of two-mode networks, combined with statistical tools for selection and location of nodes, and representation of edges.
The proposed analysis, which runs in the cloud, will be explained using a variety of examples that range from the analysis of photo collections, content analysis of text, representation of concerts and exhibitions, surveys of personal correspondence, … to the analysis of multiple response questions in questionnaires.