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Is there a way to know on which days and/or hours a question tagged (x...y...z) is more likely to get answered?

This is motivated by my recent question. I would like to know whether I've post it on the "appropriate" day of the week and time.

What does your experience tells you?

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    $\begingroup$ For maximum exposure, I would post a question during the morning (I am in UTC+0) so as to catch the Europeans first and the North Americans later. This seems to be where most of the people are most of the time. $\endgroup$
    – Peter Phipps
    Mar 25, 2012 at 22:37
  • $\begingroup$ @PeterPhipps: Thanks for the information. $\endgroup$
    – Américo Tavares
    Mar 25, 2012 at 22:38
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    $\begingroup$ This information is not easily accessible (even by the moderators). If you find a SQL wizard somewhere, you may be able to play with the data explorer to find something out. $\endgroup$
    – Willie Wong
    Mar 26, 2012 at 9:27
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    $\begingroup$ @WillieWong Thanks! With this I got a table with the following data: 7, 2011, 5; 4, 2011, 6; 4, 2011, 8; 1, 2011, 9; 7, 2011, 10; 12, 2011, 11; 2, 2011, 12; 4, 2012, 1; 4, 2012, 2; 1, 2012, 3 $\endgroup$
    – Américo Tavares
    Mar 26, 2012 at 9:51
  • $\begingroup$ @WillieWong. And this result of a query on "real-analysis" tag on the same site: 7,"2010","7"; 47,"2010","8"; 35,"2010","9"; 54,"2010","10"; 86,"2010","11"; 59,"2010","12"; 77,"2011","1"; 51,"2011","2"; 110,"2011","3"; 91,"2011","4"; 87,"2011","5"; 106,"2011","6"; 78,"2011","7"; 110,"2011","8"; 144,"2011","9"; 213,"2011","10"; 249,"2011","11"; 185,"2011","12"; 208,"2012","1"; 271,"2012","2"; 153,"2012","3". $\endgroup$
    – Américo Tavares
    Mar 26, 2012 at 15:29
  • $\begingroup$ @Americo: too bad I am no SQL wizard. I am thinking of the possibility of running the query based on UTC time instead of year-month. $\endgroup$
    – Willie Wong
    Mar 26, 2012 at 15:44
  • $\begingroup$ It may be possible to combine the link in my previous comment with this query to get a "by time of day and day of week" traffic analysis for individual tags $\endgroup$
    – Willie Wong
    Mar 26, 2012 at 15:46
  • $\begingroup$ @Willie: I will explore your idea. Thanks! $\endgroup$
    – Américo Tavares
    Mar 26, 2012 at 15:56

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Okay. I was bored for about 15 minutes, so here goes. Try this database explorer query.

For example, for the most favourable is wednesday, thursday, and friday late afternoons (16.00 - 20.00 in some timezone [see caveats below]).

Some caveats:

  • I don't know what time-zone the time of the day is computed. It is in 4-hour long blocks. Presumably based in UTC or some American timezone.
  • It is currently sorted in reverse order by frequency. So scroll down to see the "most favourable time and day of week" for a given tag.
  • I don not guarantee that the script actually does what I think it does.
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  • $\begingroup$ That's fine to me. Thanks! $\endgroup$
    – Américo Tavares
    Mar 26, 2012 at 16:29
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As per Willie Wong's comment I got these results for Tags activity over time in table format.

  • For the (divergent-series) tag $\quad$ 7, "2011", "5"; 4, "2011", "6"; 4, "2011", "8"; 1, "2011", "9"; 7, "2011", "10"; 12, "2011", "11"; 2, "2011", "12"; 4, "2012", "1"; 4, "2012", "2"; 1, "2012", "3".
  • For the (real-analysis) tag $\quad$ 7,"2010","7"; 47,"2010","8"; 35,"2010","9"; 54,"2010","10"; 86,"2010","11"; 59,"2010","12"; 77,"2011","1"; 51,"2011","2"; 110,"2011","3"; 91,"2011","4"; 87,"2011","5"; 106,"2011","6"; 78,"2011","7"; 110,"2011","8"; 144,"2011","9"; 213,"2011","10"; 249,"2011","11"; 185,"2011","12"; 208,"2012","1"; 271,"2012","2"; 153,"2012","3".

The details do not include the time, as far as I understand. However it is a part of what I had in mind when I asked the question.

In the meantime Willie Wong posted another idea to be explored.

Added. The "Tag frequency by Time of Day and Day of Week" is obtained as per Willie Wong's answer, which seems enough for the purpose of my question. See his answer.

Edit to add. For the (calculus) tag I ran a query in "Tag frequency by Time of Day and Day of Week". The plot is this one.

enter image description here

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