  Blockchain technology, which has been known by mostly small technological
circles up until recently, is bursting throughout the globe, with a potential
economic and social impact that could fundamentally alter traditional financial
and social structures. Issuing cryptocurrencies on top of the Blockchain system
by startups and private sector companies is becoming a ubiquitous phenomenon,
inducing the trading of these crypto-coins among their holders using dedicated
exchanges.
  Apart from being a trading ledger for tokens, Blockchain can also be observed
as a social network. Analyzing and modeling the dynamics of the "social
signals" of this network can contribute to our understanding of this ecosystem
and the forces acting within in.
  This work is the first analysis of the network properties of the ERC20
protocol compliant crypto-coins' trading data. Considering all trading wallets
as a network's nodes, and constructing its edges using buy--sell trades, we can
analyze the network properties of the ERC20 network. Examining several periods
of time, and several data aggregation variants, we demonstrate that the network
displays strong power-law properties. These results coincide with current
network theory expectations, however nonetheless, are the first scientific
validation of it, for the ERC20 trading data.
  The data we examined is composed of over 30 million ERC20 tokens trades,
performed by over 6.8 million unique wallets, lapsing over a two years period
between February 2016 and February 2018.
