Our processed data covers Bitcoin history 2009 to 2018:
- Chainlet occurrence matrices (1MB): Each data file contains the matrix of the day. The file occ2009003.csv gives a 20x20 matrix of chainlet occcurences for year 2009 and day 003.
- Chainlet amount matrices: (3.8MB): Each data file contains the matrix of the day. The file amo2009003.csv gives a 20x20 matrix of chainlet amounts for year 2009 and day 003.
- Graeve's feature values(3.8MB): Extracted daily features
- Betti numbers 0 and 1
- Filtered occurence matrices
- Bitcoin prices
Other than the processed data files, we also have raw input and output edges of transactions. This data is divided into yearly and monthly files. Each year's data is zipped together and contains 12 input edge files and 12 output edge files of transactions that were mined in the blocks of that year/month.
Each line in the input edge file is tab separated with the format:
Unix time of transaction\thash of transaction\thash of first input transaction\tindex of output from first input transaction\thash of second input transaction\tindex of output from second input transaction\t(additional inputs, if exist)\r\n
Each line in the output edge file is tab separated with the format:
Unix time of transaction\thash of transaction\thash of first output address\tamount of first output bitcoins\thash of second output address\tamount of second output bitcoins\t(additional outputs, if exist)\r\n
Consider the Bitcoin graph in the figure above, where transactions and addresses are shown with rectangles and circles, respectively. This graph would be given in two files: inputsYear_Month.txt and outputsYear_Month.txt. Files would include these lines (note that we list previous (unknown) transactions with t_x* notation (For example t_x1, t_x2 are not shown in the network figure). ):
-- inputsYear_Month.txt
UnixTimeOft_1 HashOft_1 HashOft_x1 0 HashOft_x2 8
UnixTimeOft_2 HashOft_2 HashOft_x3 1 HashOft_x4 3 HashOft_x5 0
UnixTimeOft_3 HashOft_3 HashOft_1 1
UnixTimeOft_4 HashOft_4 HashOft_3 2 HashOft_2 0
-- outputsYear_Month.txt
UnixTimeOft_1 HashOft_1 HashOfa_6 10^8 HashOfa_7 0.8^0.8
UnixTimeOft_2 HashOft_2 HashOfa_8 3.8*10^8
UnixTimeOft_3 HashOft_3 HashOfa_9 0.2*10^8 HashOfa_10 0.2*10^8 HashOfa_11 0.3*10^8
UnixTimeOft_4 HashOft_4 HashOfa_12 3.7*10^8 HashOfa_13 0.3*10^8
- 2009 data (0.1MB)
- 2010 data (15MB)
- 2011 data (300MB)
- 2012 data (1.2GB)
- 2013 data (3.2GB)
- 2014 data (5.2GB)
- 2015 data (9.6GB)
- 2016 inputs (8.1GB)
- 2016 outputs (8.5GB)
- 2017 data until August (13.2GB)
Please send your data related questions to cuneyt.akcora AT utdallas DOT edu.
Please cite one of the following works when using this data:
@inproceedings{abay2018,
title={ChainNet: Learning on Blockchain Graphs with Topological Features},
author={Abay, Nazmiye Ceren and Akcora, Cuneyt Gurcan and Gel, Yulia R. and Islambekov, Umar D. and Kantarcioglu, Murat and Thuraisingham, Bhavani},
booktitle={under submission},
pages={1-9},
year={2018},
organization={ACM}
}
@inproceedings{akcora2018pakdd,
title={Forecasting Bitcoin Price with Graph Chainlets},
author={Akcora, Cuneyt Gurcan and Dey, Asim Kumar and Gel, Yulia R. and Kantarcioglu, Murat},
booktitle={Pacific-Asia conference on knowledge discovery and data mining},
pages={1-12},
year={2018},
organization={Springer}
}