#BotActivity vs. #Ukraine

Here are some more news about the #SocialBots in the Ukraine conflict. To show their activity, I created a #heatmap.

As described in the last post we are analysing a social botnet that is "engaged" in the Ukraine conflict.
To understand what is going on, I build a heatmap showing how active the bots are on each day.

We can compare this map with the general activity on Twitter around the hashtag #Ukraine.

There seems to be  no striking relation - at least in the short period we have data for.
My guess is that the decrease in bot-activity was caused by counter-measures of Twitter...

Oh yes, and here comes the R-code:
(remember how to deal with "Twitter-dates"!)

### Descriptive ukraineAll
source("https://raw.githubusercontent.com/iascchen/VisHealth/master/R/calendarHeat.R")
 
# Remeber to change time locale, if you are not in english
Sys.setlocale("LC_TIME", "English")
ukraineAll$userDate <- as.Date(ukraineAll$user_created_at, 
                               format = "%a %b %d %H:%M:%S %z %Y", tz="")
ukraineAll$activityDate <- as.Date(ukraineAll$created_at, 
                                   format = "%a %b %d %H:%M:%S %z %Y", tz="")
 
TweetDates <- unique(ukraineAll$activityDate)
ukraineAll$activityDate <- as.factor(ukraineAll$activityDate)
 
png("UkraineCalendar.png", 
    res=300, type="cairo", 
    bg="transparent", 
    width= 12, 
    height=3, 
    units="in")
calendarHeat(TweetDates, table(ukraineAll$activityDate), 
             varname="#Ukraine Activity")
dev.off()

Created by Pretty R at inside-R.org