This project concerns social network analysis using Python and NetworkX applied to the Amazon product co-purchasing network, attached via the zipped files. You can find a desсrіption of the dataset in the meta file here: https://snap.stanford.edu/data/amazon-meta.html.
You will need to build a python notebook which studies the measures in the attached file sna.pdf. In the notebook you can also show some sub-graphs of the network, with respect to the measures you are studying. In addition, you can also focus on some specific parts of the whole network in a section of the notebook, e.g. only the purchases regarding books.
You will also need to write a report which must be 8-9 pages long, following the attached template using LaTex. In the report, you must indicate what phenomena are investigated, what measures are applied and how each measure is interpreted to explain the related phenomenon. More precisely, it must be clear how many networks you are going to analyse and their shape. Then for each network you must specify what are the nodes and what are the edges and whether these are oriented or not. Moreover, you must apply the measures mentioned in the other attached file and explain why you applied it and what semantics the measure has for the network. In the end you must give an interpretation of the overall results.
Posted inUncategorized
This project concerns social network analysis using Python and NetworkX applied to the Amazon product co-purchasing network, attached via the zipped files. You can find a desсrіption of the
