Tchart - the most objective chart
Visiting a torrent tracker, I once caught myself thinking that I was visiting him with one not quite ordinary goal - to understand what the people were pumping and in what quantity. I opened up any category and, moving through the pages, sorted torrents by seeders and personalities, memorizing and comparing maxima. It was terribly inconvenient, and so the idea was to create a torrent-chart.
The idea was as follows:
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What happened now is called tchart.ru .
At the time of publication of the article, the project is still at the pilot stage, so there are some flaws. However, the results are already very curious and unexpected in some places.
For example, the most popular sport for swinging - Formula 1! Another surprising is the rating of music - there is practically no Russian pop music in it (and generally pop music). That is, it is on the tracker (I checked), but in a hundred it is not. Further, I will not particularly comment, you yourself can read the ratings and draw conclusions.
A few more words about what the numbers in the columns mean. Statistics are collected for each torrent daily. For a billing period (week), the number of pumping / distributing is summed up and divided by the number of days. In other words, the number of pumping / distributors is the average for the week. Next, the torrents are grouped, and the data by group are summarized. The “downloaded times” column displays the number of downloads of the .torrent file itself during the billing period.
If you sort the rating by pumping, you’ll get the popularity rating in a week. If you sort by distributing, the rating will reflect a longer period. It can be argued that all the distributors except for one (the author of the distribution) were once swinging, so the number of distributors is like popularity for all time. Of course, some downloads go off the distribution, but if we assume that the percentage of those who came down is the same for all torrents (at least in one category), then the relative positions in the ranking remain. In the end, when building a rating, we are interested in exactly the relative values.
Thus, the Tchart rating is built automatically, directly according to the statistics of actual consumption. No one makes decisions when it is compiled, and the methods of calculation, even if they are still somewhat wrong, will be corrected with time. In general, I have the audacity to argue that tchart.ru is the most objective chart that you can imagine.
The idea was as follows:
- Combine the statistics of several major trackers into one analytical database.
- Develop a sampling mechanism for keywords with ranking by activity (activity is the sum of siders and leechers at the time of data collection).
- Group the same content by summing statistics.
- Display results by sorting by the number of siders or leechers.
')
What happened now is called tchart.ru .
At the time of publication of the article, the project is still at the pilot stage, so there are some flaws. However, the results are already very curious and unexpected in some places.
For example, the most popular sport for swinging - Formula 1! Another surprising is the rating of music - there is practically no Russian pop music in it (and generally pop music). That is, it is on the tracker (I checked), but in a hundred it is not. Further, I will not particularly comment, you yourself can read the ratings and draw conclusions.
A few more words about what the numbers in the columns mean. Statistics are collected for each torrent daily. For a billing period (week), the number of pumping / distributing is summed up and divided by the number of days. In other words, the number of pumping / distributors is the average for the week. Next, the torrents are grouped, and the data by group are summarized. The “downloaded times” column displays the number of downloads of the .torrent file itself during the billing period.
If you sort the rating by pumping, you’ll get the popularity rating in a week. If you sort by distributing, the rating will reflect a longer period. It can be argued that all the distributors except for one (the author of the distribution) were once swinging, so the number of distributors is like popularity for all time. Of course, some downloads go off the distribution, but if we assume that the percentage of those who came down is the same for all torrents (at least in one category), then the relative positions in the ranking remain. In the end, when building a rating, we are interested in exactly the relative values.
Thus, the Tchart rating is built automatically, directly according to the statistics of actual consumption. No one makes decisions when it is compiled, and the methods of calculation, even if they are still somewhat wrong, will be corrected with time. In general, I have the audacity to argue that tchart.ru is the most objective chart that you can imagine.
Source: https://habr.com/ru/post/125870/
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