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Fig 1.

Tokens and conversion operations.

Main currencies (rounded rectangles) in Steemit and possible conversion operations, are depicted as arrows. For each conversion or exchange operation, we report the type of the operation and temporal constraints, when available. In fact, many operations are instantaneous, while some others require more days.

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Fig 1 Expand

Fig 2.

Allocation of the content payout pool.

Summary of the allocation of the content payout pool between creator and curators. On top, the distribution of the rewards between the creator and curators. On the bottom, rewards can be received in two ways: full amount as Steem Power or as 50/50 split in STEEM/SBD and Steem Power.

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Fig 2 Expand

Table 1.

List of social and financial operations.

Each operation is characterized by its name, its type and a full description.

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Table 1 Expand

Fig 3.

Social/Financial action time series and STEEM price.

Time plots of the daily volume of social and financial operations along with the STEEM price in USD (green). On the x-axis: time in days. On the left y-axis: volume of operations per day (visualization of smoothed values, with a running average window of 7 days). On the right y-axis: STEEM price in USD. The blue vertical lines correspond to important events, like hard forks (HFXX), the crisis announcement by Scott (Ned)—Steemit founder, the selling of the company to TRON Foundation (TRON) and the Hive fork (Hive), which corresponds to the end of the observation period.

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Fig 3 Expand

Fig 4.

Autocorrelation Functions (ACFs).

The autocorrelation function for the a) STEEM price and b) delegation of Steem Power. On the y-axis: the correlation coefficient ρy(k). On the x-axis: the lag k in days. The light cyan area corresponds to the 95% confidence interval for the correlation coefficient.

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Fig 4 Expand

Fig 5.

Daily volume of social actions.

Time plots for social operations (vote, comment and custom_json) and STEEM price value in USD (green). On the x-axis: time in days. On the left y-axis: volume of operations per day. On the right y-axis: STEEM price in USD. The blue lines correspond to important events, like hard forks (HFXX), the crisis announcement by Scott (Ned), the selling of the company to TRON Foundation (TRON) and the Hive fork (Hive).

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Fig 5 Expand

Table 2.

Social actions and cross-correlations with STEEM price.

The column “Total” reports the overall volume of operations during the observation period. The second column reports the average daily volume. In the last three columns we report the cross-correlation, the maximum cross-correlation and the lag with the highest cross-correlation, respectively.

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Table 2 Expand

Fig 6.

Daily volume of financial actions.

Time plots for financial operations and STEEM price value in USD (green line). On the x-axis: time in days. On the left y-axis: daily volume of operations. On the right y-axis: STEEM price in USD. Blue vertical lines correspond to important events, like hard forks (HFXX), the crisis announcement by Scott (Ned), the selling of the company to TRON Foundation (TRON), and the Hive fork (Hive).

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Fig 6 Expand

Table 3.

Financial actions and cross-correlations with STEEM price.

The column “Total” reports the overall volume of operations during the observation period. The second column reports the average daily volume. In the last three columns we report the cross-correlation, the maximum cross-correlation and the lag with the highest cross-correlation, respectively.

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Table 3 Expand

Fig 7.

User’s creation and curation, for each currency.

Scatter plots (obtained by Kernel Density Estimation—KDE) relating curation (number of votes) and creation (number of posts and comments), for each of the three currencies: a) STEEM, b) SBD and 3) Steem Power. On the x-axis: the creation activity. On the y-axis: the curation activity. Darker colored areas correspond to higher density.

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Fig 7 Expand

Fig 8.

Curation index distribution.

Cumulative Distribution Function of the curation_index, for each of the three currencies. On the x-axis: the creation index, which measures how much a user relies more on curation operations. On y-axis: Cumulative Distribution Function—CDF.

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Fig 8 Expand

Fig 9.

User’s social and financial activity, for each currency.

KDE scatter plots relating social and financial activities (number of votes) and creation (number of posts and comments)for each of the three currencies. On the x-axis: social actions. On y-axis: financial actions. Darker colored areas correspond to higher density.

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Fig 9 Expand

Fig 10.

Social and financial indexes distribution.

Cumulative Distribution Function—CDF—of a) social_index and b) financial_index, for each currency. On the x-axis: social_index and financial_index, that measure whether a user relies more on social or financial actions, respectively. On y-axis: CDF.

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Fig 10 Expand

Table 4.

User reward hubs.

Correlation of currency and indexes.

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Table 4 Expand