mirror of
https://github.com/Rucknium/misc-research.git
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265 lines
12 KiB
R
265 lines
12 KiB
R
library(ggplot2)
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library(data.table)
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library(Cairo)
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xmr.blockchain <- readRDS("")
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block.template.update.adjustment <- xmr.blockchain[,
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mean(diff(sort(unique(canon.receive_time))))]
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print(block.template.update.adjustment)
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xmr.blockchain[, canon.block_receive_time.week := paste(
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lubridate::isoyear(as.POSIXct(as.integer(canon.block_receive_time), origin = "1970-01-01")),
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formatC(lubridate::isoweek(as.POSIXct(as.integer(canon.block_receive_time), origin = "1970-01-01")), width = 2, flag = "0"), sep = "-")
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]
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###############################
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## Overall confirmation delay
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###############################
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xmr.blockchain[, confirm.delay := (canon.block_receive_time - canon.receive_time) / 60]
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xmr.blockchain[, canon.block_receive_time.day :=
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as.Date(as.POSIXct(as.integer(canon.block_receive_time), origin = "1970-01-01"))
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]
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xmr.tx.confirm.delay.point <- xmr.blockchain[!is.na(confirm.delay),
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.(Metric = "Daily average",
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confirm.delay = mean(confirm.delay, na.rm = TRUE)),
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by = c("canon.block_receive_time.day")]
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xmr.tx.confirm.delay.rolling <- xmr.tx.confirm.delay.point[,
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.(canon.block_receive_time.day = canon.block_receive_time.day[-(1:6)],
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Metric = "Seven-day rolling average",
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confirm.delay = zoo::rollapply(confirm.delay, 7, mean))]
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xmr.tx.confirm.delay <- rbind(xmr.tx.confirm.delay.point, xmr.tx.confirm.delay.rolling)
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png("Monero-TX-Confirm-Delay/images/tx-delay-all.png", width = 800, height = 800)
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ggplot(aes(x = canon.block_receive_time.day, y = confirm.delay, colour = Metric), data = xmr.tx.confirm.delay) +
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geom_line(size = 2) +
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geom_vline(aes(xintercept = as.Date("2023-01-19"), colour = "Research release date"), size = 2) +
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scale_color_manual(name = "", values = c("Seven-day rolling average" = "purple", "Daily average" = "black", "Research release date" = "#FF6600FF")) +
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ggtitle("Average Time Between Monero Transactions Entering the Mempool and\nBeing Confirmed on the Blockchain") +
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xlab(" Date github.com/Rucknium") +
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ylab("Minutes") +
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theme(plot.title = element_text(size = 20), legend.position = "top",
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legend.title = element_blank(), legend.text = element_text(size = 15),
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axis.text = element_text(size = 15),
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axis.title.x = element_text(size = 15, margin = margin(t = 10)),
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axis.title.y = element_text(size = 15), strip.text = element_text(size = 15)) +
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expand_limits(y = 0) +
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scale_y_continuous(expand = expansion(mult = c(0, 0.05)))
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dev.off()
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######################################
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## Eligibility delay by mining pool
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######################################
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xmr.tx.eligiibility <- xmr.blockchain[,
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.(block.template.update =
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min(canon.block_receive_time - canon.receive_time -
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block.template.update.adjustment, na.rm = TRUE) / 60),
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by = c("block_height", "Pool", "canon.block_receive_time.week")]
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# Removes transactions with no canon.receive_time. The nodes did not see
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# those transactions before they appeared in a received block
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# WARNING: Produces Infs when block has no transactions
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xmr.tx.eligiibility <- xmr.tx.eligiibility[is.finite(block.template.update), ]
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xmr.tx.eligiibility[block.template.update < 0, block.template.update := 0]
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xmr.tx.eligiibility <- xmr.tx.eligiibility[, .(block.template.update = mean(block.template.update)),
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by = c("Pool", "canon.block_receive_time.week")]
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png("Monero-TX-Confirm-Delay/images/tx-eligibility-ISO-week.png", width = 800, height = 800)
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ggplot(aes(x = as.factor(canon.block_receive_time.week), y = block.template.update, group = 1), data = xmr.tx.eligiibility) +
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geom_line() +
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geom_vline(aes(xintercept = xmr.tx.eligiibility[, which(unique(as.factor(canon.block_receive_time.week)) == "2023-03")],
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colour = "Research release date")) +
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scale_color_manual(name = "", values = c("Weekly average" = "black", "Research release date" = "#FF6600FF")) +
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ggtitle("Average Time Between Monero Transactions Entering the Mempool and\nBecoming Candidates for Blockchain Confirmation, by Mining Pool and Week") +
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xlab("Note: 2miners data is incomplete ISO Week github.com/Rucknium") +
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ylab ("Minutes") +
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facet_wrap(~ Pool, ncol = 3) +
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theme(plot.title = element_text(size = 20), legend.position = "top",
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legend.text = element_text(size = 15),
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axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
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axis.text = element_text(size = 15),
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axis.title.x = element_text(size = 15, margin = margin(t = 10)),
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axis.title.y = element_text(size = 15), strip.text = element_text(size = 15)) +
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expand_limits(y = 0) +
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scale_y_continuous(expand = expansion(mult = c(0, 0.05)))
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dev.off()
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xmr.tx.eligiibility <- xmr.blockchain[,
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.(block.template.update =
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min(canon.block_receive_time - canon.receive_time -
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block.template.update.adjustment, na.rm = TRUE) / 60),
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by = c("block_height", "Pool", "canon.block_receive_time.day")]
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xmr.tx.eligiibility <- xmr.tx.eligiibility[is.finite(block.template.update), ]
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xmr.tx.eligiibility[block.template.update < 0, block.template.update := 0]
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xmr.tx.eligiibility <- xmr.tx.eligiibility[, .(block.template.update = mean(block.template.update)),
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by = c("Pool", "canon.block_receive_time.day")]
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xmr.tx.eligiibility.rolling <- xmr.tx.eligiibility[,
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.(canon.block_receive_time.day = canon.block_receive_time.day[-(1:6)],
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block.template.update = zoo::rollapply(block.template.update, 7, mean)),
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by = "Pool"]
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png("Monero-TX-Confirm-Delay/images/tx-eligibility-moving-average.png", width = 800, height = 800)
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ggplot(aes(x = canon.block_receive_time.day, y = block.template.update), data = xmr.tx.eligiibility.rolling) +
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geom_line() +
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geom_vline(aes(xintercept = as.Date("2023-01-19"), colour = "Research release date")) +
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scale_color_manual(name = "", values = c("7-day moving average" = "black", "Research release date" = "#FF6600FF")) +
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ggtitle("Average Time Between Monero Transactions Entering the Mempool and\nBecoming Candidates for Blockchain Confirmation, by Mining Pool") +
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xlab("Note: 2miners data is incomplete Date github.com/Rucknium") +
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ylab ("Minutes") +
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facet_wrap(~ Pool, ncol = 3) +
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theme(plot.title = element_text(size = 20), legend.position = "top",
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legend.text = element_text(size = 15),
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axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
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axis.text = element_text(size = 15),
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axis.title.x = element_text(size = 15, margin = margin(t = 10)),
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axis.title.y = element_text(size = 15), strip.text = element_text(size = 15)) +
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expand_limits(y = 0) +
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scale_y_continuous(expand = expansion(mult = c(0, 0.05)))
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dev.off()
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######################################
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## Block reward revenue by mining pool
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######################################
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block.reward.comparison <- unique(xmr.blockchain[
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canon.block_receive_time.day >= as.Date("2023-02-23"), .(block_height, block_reward, Pool, is_p2pool)])
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block.reward.comparison[, mean(block_reward, na.rm = TRUE) / 1e12, by = "Pool"]
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block.reward.comparison[, mean(block_reward, na.rm = TRUE) / 1e12, by = "is_p2pool"]
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block.reward.comparison[, (mean(block_reward[is_p2pool], na.rm = TRUE) -
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mean(block_reward[!is_p2pool], na.rm = TRUE) )/ 1e12]
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block.reward <- unique(xmr.blockchain[, .(block_height, block_reward, Pool, is_p2pool, canon.block_receive_time.week)])
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block.reward <- block.reward[!is.na(block_reward), ]
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block.reward[, mean(block_reward, na.rm = TRUE) / 1e12, by = "Pool"]
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block.reward[, mean(block_reward, na.rm = TRUE) / 1e12, by = "is_p2pool"]
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block.reward[, (mean(block_reward[is_p2pool], na.rm = TRUE) -
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mean(block_reward[!is_p2pool], na.rm = TRUE) )/ 1e12]
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block.reward.mean <- block.reward[, .(block_reward = mean(block_reward)),
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by = c("Pool", "canon.block_receive_time.week")]
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block.reward.mean[, Metric := "Mean"]
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block.reward.median <- block.reward[, .(block_reward = median(block_reward)),
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by = c("Pool", "canon.block_receive_time.week")]
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block.reward.median[, Metric := "Median"]
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block.reward <- rbind(block.reward.mean, block.reward.median)
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png("Monero-TX-Confirm-Delay/images/mining-reward-ISO-week.png", width = 800, height = 800)
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ggplot(aes(x = as.factor(canon.block_receive_time.week), y = block_reward/1e12, colour = Metric, group = Metric), data = block.reward) +
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geom_line() +
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geom_vline(aes(xintercept = xmr.tx.eligiibility[, which(unique(as.factor(canon.block_receive_time.week)) == "2023-03")],
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colour = "Research release date")) +
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scale_color_manual(name = "", values = c(Mean = "purple", Median = "black", "Research release date" = "#FF6600FF")) +
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ggtitle("Total Mining Reward per Monero Block, by Mining Pool") +
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xlab("Note: 2miners data is incomplete ISO Week github.com/Rucknium") +
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ylab ("XMR") +
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facet_wrap(~ Pool, ncol = 3) +
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theme(plot.title = element_text(size = 20), legend.position = "top",
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legend.title = element_blank(),
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legend.text = element_text(size = 15),
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axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
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axis.text = element_text(size = 15),
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axis.title.x = element_text(size = 15, margin = margin(t = 10)),
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axis.title.y = element_text(size = 15), strip.text = element_text(size = 15)) +
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expand_limits(y = 0.6) + # 0.6 is the tail emission
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scale_y_continuous(expand = expansion(mult = c(0, 0.05)))
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dev.off()
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block.reward <- unique(xmr.blockchain[, .(block_height, block_reward, Pool, is_p2pool, canon.block_receive_time.day)])
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block.reward <- block.reward[!is.na(block_reward), ]
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block.reward.mean.daily <- block.reward[, .(block_reward = mean(block_reward)),
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by = c("Pool", "canon.block_receive_time.day")]
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block.reward.median.daily <- block.reward[, .(block_reward = median(block_reward)),
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by = c("Pool", "canon.block_receive_time.day")]
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block.reward.mean.daily <- block.reward.mean.daily[,
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.(canon.block_receive_time.day = canon.block_receive_time.day[-(1:6)],
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Metric = "Mean: 7-day moving average",
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block_reward = zoo::rollapply(block_reward, 7, mean)),
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by = "Pool"]
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block.reward.median.daily <- block.reward.median.daily[,
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.(canon.block_receive_time.day = canon.block_receive_time.day[-(1:6)],
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Metric = "Median: 7-day moving average",
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block_reward = zoo::rollapply(block_reward, 7, mean)),
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by = "Pool"]
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block.reward <- rbind(block.reward.mean.daily, block.reward.median.daily)
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png("Monero-TX-Confirm-Delay/images/mining-reward-moving-average.png", width = 800, height = 800)
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ggplot(aes(x = canon.block_receive_time.day, y = block_reward/1e12, colour = Metric, group = Metric), data = block.reward) +
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geom_line() +
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geom_vline(aes(xintercept = as.Date("2023-01-19"), colour = "Research release date")) +
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scale_color_manual(name = "",
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values = c("Mean: 7-day moving average" = "purple",
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"Median: 7-day moving average" = "black",
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"Research release date" = "#FF6600FF")) +
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ggtitle("Total Mining Reward per Monero Block, by Mining Pool") +
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xlab("Note: 2miners data is incomplete Date github.com/Rucknium") +
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ylab ("XMR") +
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facet_wrap(~ Pool, ncol = 3) +
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theme(plot.title = element_text(size = 20), legend.position = "top",
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legend.title = element_blank(),
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legend.text = element_text(size = 15),
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axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
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axis.text = element_text(size = 15),
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axis.title.x = element_text(size = 15, margin = margin(t = 10)),
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axis.title.y = element_text(size = 15), strip.text = element_text(size = 15)) +
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expand_limits(y = 0.6) + # 0.6 is the tail emission
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scale_y_continuous(expand = expansion(mult = c(0, 0.05)))
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dev.off()
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