Graph Representation and Analysis of Transaction Paths in Cryptocurrency Networks

A. Creating representation model for transaction sequences in the
Ethereum Network
1.Research on literature work/articles produced explanation on graph
for blockchain analytics.
2.Research on how to get the data out from the blockchain
MSc Project Proposal Page 4
WebSocket’s and load into graph database efficiently.
3.Analyzing optimization techniques, that able to generate the CSV
files for the timestamp data that selected from Ethereum blockchain
to load it in graph database.
4.Analyzing suitable platform to insert new records into graph
database.
5.Modeling Ethereum transaction sequences and developing a real
time dashboard to analyze the transactions.
6.Analyzing Ethereum transactions, how graph visualization can be
used to visualize complex network relations formed by these
transactions and by using graph database to show the flow of
transactions.
7.Analyzing how to monitor and display the data like total count of
transactions, highest number of transactions, incoming volume,
outgoing volume, Inputs, and outputs in respect to address, single
transaction.
8.Analyzing how the values are dispersed throughout the network
using cypher query and graph visualization techniques to examine
Ethereum transactions