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Links
Pictures
Links
Pictures
Links
Pictures
Links
Pictures
Links
Pictures
Charts
Category Total
tweets
% Original
Tweets
RT Users Impressions Potential Reach Tweets/
User
Followers/
User
Links 598 51 256 342 110 3.865.091 251.831 5,4 2.289Pictures 173
15 81 92 56 893.351 134.366 3,1 2.399
Otros 121 10 69 52 53 510.308 184.210 2,3 3.475
Motorland 89 8 33 56 41 603.297 151.608 2,2 3.697
Replies 74 6 74 0 33 453.043 129.136 2,2 3.913
Tamborrada 50 4 24 26 30 296.426 117.068 1,7 3.902
Calanda 44 4 19 25 25 183.058 106.924 1,8 4.276
Checkins 28 2 28 0 9 99.117 64.075 3,1 7.119
Gastronomia 6 1 5 1 5 40.810 40.367 1,2 8.073
Analysis of the session '#SienteTeruel' created with Tweet
Category
7/29/2019 #SienteTeruel
6/7Analysis of the session '#SienteTeruel' created with Tweet
Category
Page 1: General Overview: This page shows at a glance the
evolution and the global statistics of the session.
Statistics
Number of Tweets: Total number of Tweets sent during the
session, RTs and replies included. It is shown below, a
breakdown of the types of tweets: original tweets (those
containing text only) tweets with links, retweets,
conversations
(tweets as part of a conversation between several users),
check-ins and photos.
- Number of users: Total number of users who participated in the
session using the given hashtag. It also includes userswho only
sent RTs.
- Potential Impact: Number of impressions of the hashtag, which
is the number of times that people could have seen the
hashtag. This is important because it tells you how many times
it has been possible to visualize the hashtag. This number is
calculated by multiplying the number of followers of each user
by the number of number of Tweets and adding those results.
Example: If a user sends 2 tweets and he has 100 followers, the
number of impressions generated by the users would be
200. If another user sends 3 tweets and he has 50 followers, the
number of impressions generated by this person would be
150 which would make a total of 350 impressions of the
session.
- Potential Reach: Number of users who have been unable to see
the hashtag and could have been impacted by the
hashtag. This number is calculated by adding all the followers
of each user who participated in the session. Using the
previous example, if the session had 2 users, one with 100
followers and the other one with 50, the reach will be 150
followers, regardless of the number of tweets sent. IMPORTANT:
both the impact and reach are 'potential' because not
everyone may have seen the hashtag and users can have other
users in common.
- Average number of Tweets per user: this number is the average
of Tweets sent per each user. This number is calculated
by dividing the number of tweets between the number of users who
have participated. RTs included.
- Average followers per user: the average number of followers
that users of the session have. This figure indicates how
influential are the participants in our session. Given that the
average number of followers that a Twitter user has is about
250, you can calculate if participants in your session exceed
that average. This number is calculated by dividing the sum of
followers by the number of users who have participated.
- Difference between Total Tweets and Tweets: The Total Tweets
include RTs, links, replies, links and 'Tweets'.
'Tweets' are the ones containing only text.
ChaRTs
There are different types of graphs in the report Tweet
Category:
Temporal Evolution: shows the time evolution of the tweets sent
by users. Tweet Category takes the first and last tweet
and draws the timeline of the session. Thanks to this chart you
will be able to identify the moment people tweeted the most
or the least.
Influence of Users: shows the influence of the users who
participated in the session. On the vertical axis you will find
the
total number of users and on the horizontal one, the number of
followers of those users. As we move to the right part of the
graph you will see the users who have a greater number of
followers and therefore influence. The higher the columns on
the
right, the higher influence of your users.
User activity: shows the number of tweets sent by users. The
vertical axis shows the number of tweets sent and the
horizontal one the number of users who have participated.
Page 2: Statistics of the categories: on this page you will find
the detailed statistics for each category.
Rankings of categories:
This ranking shows which categories have reached the top 5
according to several statistics. It is interesting to note that
although a category may have a greater number of tweets that
another one, it could have a minor number of impressions
(lower impact). The rankings show the categories with the
highest reach, impact, number of users, number of tweets and
number of RTs.
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ChaRTs:
Impact by category: This graph shows which category has the
highest number of impressions and therefore the highest
impact.
Tweets by category Chart: This chart shows which category has
the highest number of total tweets.
Users by category Chart: This chart shows which category has the
highest number of users.
Table of categories:
This table shows detailed statistics for each category; these
statistics are the same variables as the global statistics of
the
session but applied to each of the category. Thus you can see
which category gets more impact, more users, and so on. It is
worth taking a second to consider this table as very interesting
conclusions can be obtained from it.
Page 3: User Rankings
Tweet Category offers different kinds of user rankings:
Most active users: the ones who tweeted the most using the
hashtag. RTs included.
Most popular users: the ones who have the highest number of
followers in the session.
Users with the highest impact: the ones who generated the
highest number of impressions.
Most participative users: the ones who participated in more
categories.
Most retweeter users: the ones who sent the highest number of
RTs.
Most original users: the ones who sent the highest number of
original tweets (No RTs).
