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Masters Final Year Project - Analysing Transaction Flow in Kiva.org- UCL 2017/18

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Flow Analysis on Kiva, The Online Microlending Platform

Technology Requirements:

  • Python 3
  • MATLAB
  • PSQL
  • PgAdmin (*Optional)
  • iPython and Miniconda (*Optional)
  • Gephi Software: Download Link (*Optional)

File Structure:

There exist three data analysis in this repository. Each represented in three different folders listed below:

gravity-model
  • This code was written in MATLAB.
  • Contains country-to-country analysis using gravity model.
  • Main gravity model can be found in gravModel.m.
  • Correlation calculation can be found in correlationScript.m.
  • We listed the SQL Queries that we used to build the PSQL database in gravity_query.sql.
topological-analysis
  • This code was written in Python.
  • Contains country-to-country analysis using Bonferroni Validation Procedure (BVP).
  • Procedure can be found in bonferroni.py.
  • We listed the SQL Queries that we used to build the PSQL database in topological_query.sql (note that some of the query were used from gravity model).
  • We also included Gephi files that we used to visualise the flow in world map.
rewiring-analysis
  • This code was written in Python.
  • Contains country-to-individual(macro) and individual-to-individual(micro) analysis using rewiring analysis.
  • This file contains two more folders: country-to-individual and individual-to-individual.
  • The main procedure for macro analysis was written in individual files for each categories. Each can be found in [category]-rewiring.py.
  • The main procedure for micro analysis can be found in main-gender-rewiring.py.
  • All files are accompanied with the SQL Queries that we used to build the PSQL database with.

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Masters Final Year Project - Analysing Transaction Flow in Kiva.org- UCL 2017/18

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