Sender: Starseeker (History is just history), the letter area: bbsview
Title: Popularity of multiple BBS in education network June 2004
Sending station: a mess (Tue Jul 6 03:43:20 2004), this site (YTHT.NET)
Disclaimer: The rankings listed in this article merely mean popular ranking, not the comprehensive rankings of BBS, etc.
This article believes in personal opinions, the purpose of writing this article is to discuss multiple BBSs in comparative education network.
The popularity between the popularity, I hope everyone will correct it. Welcome to the BBSView version discussion.
I look at the popularity of a BBS for 5 parts.
That is: the average number of online people (50%)
Number of visitors (20%)
Total account number (10%)
Daily account increase number (10%)
Maximum number of online people (10%)
Among them, the highest BBS is 100 points, then multiply the weight in parentheses, I hope to use the final number.
To compare the popularity between the BBS.
Average online [1] Day landing [2] total account [4] Daily account increment [5] highest online
SMTH 10099 446884 292774 -359 17305
Ytht 11682 2833363 278281 483 20930
NJU 6722 334890 131904 99 11517
FREECITY 5440 60257 70691 65 8284
Whunt 1635 26014 [3] 47832 6 4998
PKU 1570 27954 81658 -111 4484
Sjtu 1699 29131 69687 45 3646
Xjtu 1477 27000 42106 11 3173
Nankai 1477 34323 47234 40 2858
USTC 1068 30153 33606 -7 1825
The above data is 6.4-7.5 in addition to the average online date.
The average online data is 6.1-6.30
[1] Average number of online people take self-scanned data (
http://online.cn-bbs.org/starseeker)
However, there is no update image for a while, and there is data on your hard disk.
[2] Average daily landing people except SMTH, WHNET and XJTU, BBSList, BBS, June 5, June 15
, The average of the data released on June 25. SMTH is the number of monthly landed people published by its BBSLIST. xjtu
For the estimated value.
[3] WHNET's day login number is the following way: statistical imported screens have changed in a month in one month
1.5 times the number obtained by the number of months. Because the number of people obtained by comparison discovery
The BBSLIST version is generally small, so it will take advantage of the factor 1.5 for fairness.
[4] In addition to SMTH and SJTU 7.5 The number of IDs displayed in the station screen, SMTH and SJTU get my own procedures
Estimate. But I don't know why SMTH is so serious that the number of accounts is so serious. I don't know if it is mine.
Problem problems, or the fact.
[5] The number of people with a daily account is 6.4 to 7.5 divided by the number of days.
The above data can be used through the formula given by the above data to obtain a popular comparison between these BBS: average online (50) day login (20) total account (10) day account increment (10) highest online (10 Master points
SMTH 43.22 20.00 10.00 -7.43 8.27 74.06
YTHT 50.00 12.68 9.50 10.00 10.00 92.18
NJU 28.77 14.99 4.51 2.05 5.50 55.82
Freecity 23.28 2.70 2.41 1.35 3.96 33.70
Whunt 7.07 1.16 1.63 0.12 2.39 12.37
PKU 6.72 1.25 2.79 -2.30 2.14 10.60
SJTU 7.27 1.30 2.38 0.93 1.74 13.62
XJTU 6.32 1.21 1.44 0.23 1.52 10.72
NANKAI 6.32 1.54 1.61 0.83 1.37 11.67
USTC 4.57 1.35 1.15 -0.15 0.87 7.79
Improvement and shortcomings:
This main improvement is the statistics of day landing, but I want to do it most, I can take a month of data average.
This, this can be more scientifically and reduced random error.
Insufficient still is old, I promised this summer vacation to imagine this mathematical model, the summer vacation is just a lot
Have a space :)
Some explanations:
The ten sites I took out should be one of several BBSs that are the most prominent BBS in the education network.
Of course, because of the relationship between the data, some BBS is not included in the form, such as the drum and waves.
Or because of my personal reasons, I am not willing to compare some BBS, such as the Sun Moonlight.
Since I have limited energy, it is impossible to take too many BBS data, but I welcome these BBS proactive to provide data.
Give me, or who can help me take some BBS data.
Comparison:
This month is the last month of the semester. I can find some Ming when I take 5, 15, and 25 three days.
The significant difference is that there are more than 20,000 days, such as the PKU, and the number of logged times in the 25th is reduced.
More than 30,000, such as Nankai, the number of landing times in the 25th is significantly increased. And relative to online
On the number of people, Nankai and USTC's daily landing times have a lot of obvious, I don't know this because the program itself is
The reason is that it is caused by the network factors of the school. I think this is a question worth studying. School network
The effects of conditions on BBS data, but this impact on SMTH and YTHT should be much smaller.
This article will post in the installbbs transfer group in CNBBS (original published in drinking water Source INSTALLBBS version)
I will also post a SYSOP version of the lily.
Of course, there is also a confused BBSView (research version of the 3 district BBS development), if you have any ideas or good to this article
It is recommended to discuss it, and I hope more people can come to this layout and BBS related issues (calculated
Advertise your own layout)
The above things should be on behalf of my personal opinion, if there is anything wrong or improper, I hope everyone will make it. postscript:
This article should be released yesterday, but since I was busy writing a monitoring version of Irrigation on the water source yesterday.
Script, so it's been out of a few hours later, everyone forgive me.
Summer vacation has been started, I believe that the BBS data will have a small change. I am looking forward to see the impact of summer vacation on BBS.
How big is it?
