The purpose of this work was to perform a network analysis on the rapidly
growing bitcoin transaction network. Using a web-socket API, we collected data
on all transactions occurring during a six hour window. Sender and receiver
addresses as well as the amount of bitcoin exchanged were record. Graphs were
generated, using R and Gephi, in which nodes represent addresses and edges
represent the exchange of bitcoin. The six hour data set was subsetted into a
one and two hour sampling snapshot of the network. We performed comparisons and
analysis on all subsets of the data in an effort to determine the minimum
sampling length that represented the network as a whole. Our results suggest
that the six hour sampling was the minimum limit with respect to sampling time
needed to accurately characterize the bitcoin transaction network.Anonymity is
a desired feature of the blockchain and bitcoin network however, it limited us
in our analysis and conclusions we drew from our results were mostly inferred.
Future work is needed and being done to gather more comprehensive data so that
the bitcoin transaction network can be better analyzed.Comment: 8 pages, 8 figures, 2 table