An Ego network of suspected sextortionist(s)

This data contains a Bitcoin subgraph which is the ego network of suspected sextortionist(s). The file name is of the form Gf***.gml, *** is the Bitcoin address of a node suspected of being involved in sextorsions. This graph is said to be an ego network because it is centered around occurrences of this address. One way to use this dataset is the Python library NetworkX. You can load the graph as follows: import networkx as nx G = nx.read_gml('Gf3HXdb3HAw1wVzU9b7ZSigvGaStd8KoZ3zJ.gml') You can check the number of nodes and edges as follows: G.order() 41671 G.size() 46949 The graph contains two types of nodes, here are two examples: G.nodes()['34065075'] {'txdate': 1552470020.0, 'txhash': '845d9a6490b00c35ceab5044f262bfcf3df12a3a62367882ffad88d053ab520b', 'labels': 'tx'} G.nodes()['11680699'] {'outid': '845d9a6490b00c35ceab5044f262bfcf3df12a3a62367882ffad88d053ab520b@0', 'addr': '3HXdb3HAw1wVzU9b7ZSigvGaStd8KoZ3zJ', 'labels': 'out'} The first is a transaction node, txdate contains the date of the transaction in epoch time, txhash contains the hash of the transaction. The second is an address node, addr contains the wallet address, the outid refers to the way transaction data is stored on the Blockchain: every address node is given as the output of a transaction, with its output number (@ is used as a delimiter, 0 is the output number).