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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["bitcoin_alpha"]

bitcoin_alpha — Bitcoin Alpha trust network (2017)


A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to +10 (total trust) in steps of 1.1

  1. Description obtained from the ICON project. 

Social Online Weighted Signed Timestamps
  • S. Kumar, F. Spezzano, V.S. Subrahmanian, and C. Faloutsos, "Edge weight prediction in weighted signed networks." IEEE 16th International Conference on Data Mining (ICDM), 221-230 (2016), https://doi.org/10.1109/icdm.2016.0033 [@sci-hub]
Upstream URL OK
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
bitcoin_alpha 3,783 24,186 6.39 34.44 45.31 25.67 -0.16 0.08 10 1.00 Directed Unipartite name rating time 153 KiB 249 KiB 221 KiB 206 KiB
None drawing