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wea_ondara
2020-05-17 15:51:57 +02:00
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@@ -5,6 +5,7 @@ This section shows the results of the experiments described in section 3 on the
% pvalues ... % pvalues ...
% maybe average data points per month
%TODO write some text to each result %TODO write some text to each result

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\chapter{Discussion} \chapter{Discussion}
The ITS analysis of the investigated communities show mixed results. Some communities show an increase in sentiment while others are not affected at all or show a decrease in sentiment. The StackOverflow community has a fairly stable average sentiment prior to the change. The average sentiment jumps into a higher level and keeps rising after the change is introducted. The change has a positive effect on the StackOverflow community. Beside StackOverflow, 4 other communities seem to profit from the change: AskUbuntu, stats.stackexchange.com, tex.stackexchange.com, and unix.stackexchange.com. AskUbuntu shows an interestion zig-zag pattern in the average sentiment graph. Also, the average sentiment is falling prior to the change and raising thereafter, indicating that the change worked for this community. On stats.stackexchange.com the average sentiment is falling prior to the change but since the change the downward trends stopped and the sentiment started to rise slowly, suggesting the change has a positive effect on the community. In the tex.stackexchange.com community sentiments are stable prior to the change and show a stark rising pattern after the change. The change seems to work for this community but future data will be neccessary to see if the rising pattern continues in the shown manner. unix.stackexchange.com also shows a decreasing pattern prior and a rising pattern after the change. So this community also profits from the change.
The other communities do not seem to profit from the change directly. ServerFault is an example where the change does not have a significant impact. The sentiment rises gradually prior to the change, jumps upward by a small value when the change ist introduced and the sentiment is falling slowly thereafter. The data does not inidicate a significant rise or fall in the average sentiment, so this community seem to be largly unaffected by the change. MathOverflow, math.stackexchange.com, and electronics.stackexchange.com show similar results. The average sentiment stay constant on MathOverflow and are falling for math.stackexchange.com and electronics.stackexchange.com. After the change these communities see a decrease in sentiment. These communities seem to not profit from the change. However math.stackexchange.com has group below average sentiment values at the end which could be a result from another unknown influence. Also the average sentiment on electronics.stackexchange.com seem to recover after about 12 months and future data is required to see if the rise in the end is a long term trend. SuperUser shows a really odd pattern. The average sentiment is stable prior to the change and decreased dramatically shortly afterward. However the sentiment recovers after 12 months. The ITS model chosen in this thesis is not able to capture the apparent pattern. Future data will be necessary to see if the sentiment recovers long term.
%so only community that shows a clear improvement when comapred to prior to change sentiment
% mse not really changing, downward trend before and after, probably to the low last 5 values, its does not say much
% mo: sentiments largely the same before and after, regression falling due to how its works, its does not say much
% au: show intresting zigzag pattern: falling then gradually rising
% sf: sentiments fairly stable change not really detectable
% su: sneitments crashed down after change but recovered later, its model cannot catch this
% ele: steadily falling, same upward trend in the end, maybe senitments recover i future data
% stats: falling before change and drop at change but afterward seniemnts stabilizedeven rising
% tex: sentiments took up a bit after the change; change seems to works
% unix: sentiments falling prior but gainig after; change seems to work
% similarities in results and differences % similarities in results and differences
% expectations from before the experiment and how they match with results % expectations from before the experiment and how they match with results
% interesting single results? maybe strong dip in maths sites % interesting single results? maybe strong dip in maths sites
@@ -7,6 +23,8 @@
% as expected #answers per month vary greatly % as expected #answers per month vary greatly
% some communties have a high average sentiment compared to others % some communties have a high average sentiment compared to others
% mathoverflow very sparse, stackoverflow densest obviously as biggets community 100x more users
% fewer questions by new users over time? + explaination
%future research %future research
% investigate different change pattern and why they occured % investigate different change pattern and why they occured