August 13, 2011 at 09:30Tchart is the most objective chart
When I visited a torrent tracker, I once found myself thinking that I was visiting it with one not quite ordinary goal - to understand what and how many people were downloading. I opened a category and, going through the pages, sorted torrents by siders and lechers, remembering and comparing the highs. It was terribly inconvenient, and so the idea came up - to create a torrent-chart.
The idea was as follows:
What happened is now 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 in some places unexpected.
So, for example, the most popular sport for rockers is Formula 1! The music rating is even more surprising - there is practically no Russian pop (it generally pop). That is, it is on the tracker (I checked), but in a hundred it is not. I will not particularly comment further, you yourself can familiarize yourself with 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 given billing period (week), the number of download / distributors is summed up and divided by the number of days. In other words, the number of downloads / distributors is the average value for a week. Further, torrents are grouped, and data on groups are summarized. The “downloaded times” column displays the number of downloads of the .torrent file itself for the billing period.
If you sort the rating by downloading, you get a popularity rating directly for the week. If you sort by distributing, the rating will reflect a longer period. It can be argued that all distributors except one (distribution author) were once swinging, so the number of distributors is like a kind of popularity for all time. Of course, some downloaded downloads go off the distribution, but if we assume that the percentage of people who downloaded it is the same for all torrents (at least in one category), then the relative positions in the rating are saved. In the end, when constructing the rating, we are interested in the relative values.
Thus, the Tchart rating is built automatically, directly from the statistics of actual consumption. Not a single person makes decisions when compiling it, and calculation methods, even if they are still incorrect in some way, will be corrected over time. In general, I have the audacity to say that tchart.ru is the most objective chart you can imagine.
The idea was as follows:
- Combine statistics of several major trackers into one analytical database.
- To develop a mechanism for constructing samples by keywords with ranking by activity (activity is the sum of siders and leechers at the time of data collection).
- Group the same content by adding statistics.
- Display results by sorting by the number of siders or leechers.
What happened is now 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 in some places unexpected.
So, for example, the most popular sport for rockers is Formula 1! The music rating is even more surprising - there is practically no Russian pop (it generally pop). That is, it is on the tracker (I checked), but in a hundred it is not. I will not particularly comment further, you yourself can familiarize yourself with 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 given billing period (week), the number of download / distributors is summed up and divided by the number of days. In other words, the number of downloads / distributors is the average value for a week. Further, torrents are grouped, and data on groups are summarized. The “downloaded times” column displays the number of downloads of the .torrent file itself for the billing period.
If you sort the rating by downloading, you get a popularity rating directly for the week. If you sort by distributing, the rating will reflect a longer period. It can be argued that all distributors except one (distribution author) were once swinging, so the number of distributors is like a kind of popularity for all time. Of course, some downloaded downloads go off the distribution, but if we assume that the percentage of people who downloaded it is the same for all torrents (at least in one category), then the relative positions in the rating are saved. In the end, when constructing the rating, we are interested in the relative values.
Thus, the Tchart rating is built automatically, directly from the statistics of actual consumption. Not a single person makes decisions when compiling it, and calculation methods, even if they are still incorrect in some way, will be corrected over time. In general, I have the audacity to say that tchart.ru is the most objective chart you can imagine.