We segment these users into a number of psychographic
segments: including gender, location, Twitter activity, and
more. Next to each chart, you will find links that
allow you to explore specific users in each segment. You
can further sort these pop-up lists of users by follower
count, tweet count, and so on.
Sample size: 228 of users @eekim follows – view all »
Mapped locations of users eekim follows
Using the location field in Twitter accounts, we try to approximate the
geographic location of up to 5,000 users and map them for you.
This is an inexact procedure and so some points may be mapped incorrectly.
Most active hours for users eekim follows
This chart breaks down the hourly Twitter activity of eekim's friends.
Please check back later.
Most active hours for eekim
This chart details eekim's Twitter activity. Using up to 400 of
their most recent actions, we chart when they tweet, @contact tweet (ones
that begin with someone's name), and retweet. Compare to the above chart
to see how their activity compares to their friends.
Please check back later.
Bio word cloud of users eekim follows
To help make sense of the "biography" field of each Twitter user, we've assembled this
word cloud which shows you the most frequently occuring words.
social – director – former – founder – author – professor – own – learning – wikipedia – tweets – change – hehim
Location word cloud of users eekim follows
Similar to the above word cloud, here we show you the relative frequency of words used in the "location" field of users eekim follows.
ca – san francisco – california – ny – usa
Social Authority scores of users eekim follows
Social Authority is our rating
of a user's influence and engagement on Twitter. It ranges
from 1 to 100, where higher scores indicate a person with
greater influential activity.
Breakdown
24
10.5%
1 to 10 »
11
4.8%
11 to 20 »
22
9.6%
21 to 30 »
32
14%
31 to 40 »
54
23.7%
41 to 50 »
51
22.4%
51 to 60 »
20
8.8%
61 to 70 »
7
3.1%
71 to 80 »
5
2.2%
81 to 90 »
2
0.9%
91 to 100 »
Inferred gender of users eekim follows
Based on an analysis of users' profile data, when applicable
and available, we guess their gender.
Breakdown
94
41.2%
male »
57
25%
female »
77
33.8%
undetermined »
Follower counts of users eekim follows
We've analyzed users eekim follows
and assembled this chart to show you the number of people who follow those users. This is a useful way to pinpoint those users with
the most followers (and therefore clout).
Breakdown
5
2.2%
1 to 49 »
7
3.1%
50 to 99 »
36
15.8%
100 to 499 »
28
12.3%
500 to 1k »
71
31.1%
1k to 5k »
28
12.3%
5k to 10k »
32
14%
10k to 50k »
10
4.4%
50k to 100k »
8
3.5%
100k to 500k »
3
1.3%
500k to 1 million »
avg: 24,662.73, median: 2,659
Following counts of users eekim follows
Here we highlight the following counts of users eekim follows.
Generally, this is a less useful metric than the
follower count (above). That said, we've found that people who
follow a large number of users are
often less "valuable" than those who follow fewer –
this is because those people who follow a lot are less likely to
comprehensively read their Twitter stream.
Breakdown
3
1.3%
none »
8
3.5%
1 to 49 »
3
1.3%
50 to 99 »
49
21.5%
100 to 499 »
40
17.5%
500 to 1k »
105
46.1%
1k to 5k »
16
7%
5k to 10k »
3
1.3%
10k to 50k »
1
0.4%
500k to 1 million »
avg: 6,199.72, median: 1,153
Account ages of users eekim follows
The age of an account is an interesting way to measure value. Users who
have been on Twitter for a while are early adopters, and generally more
valuable than newbies. As well, there is a higher percentage of spam
accounts in newer user segments (as Twitter has not yet cleared them out).
Breakdown
4
1.8%
2 to 3 years »
1
0.4%
3 to 4 years »
223
97.8%
5+ years »
Recencies of tweets of users eekim follows
If a person hasn't tweeted recently, then their account may be dormant.
These data are based on the date that Followerwonk last checked the
user, so the dates may not be entirely precise, but they should give you
a good idea of who is tweeting more recently than others. Protected
accounts are excluded from this analysis.
Breakdown
6
2.6%
last hour »
61
26.8%
1 to 24 hours »
49
21.5%
1 to 7 days »
32
14%
7 to 30 days »
18
7.9%
1 to 3 months »
14
6.1%
3 to 6 months »
7
3.1%
6 to 12 months »
14
6.1%
1 to 2 years »
3
1.3%
2 to 3 years »
3
1.3%
3 to 4 years »
4
1.8%
4 to 5 years »
9
3.9%
5+ years »
Total tweets of users eekim follows
If a user has a low total tweet count, they may not be a "real" user.
Perhaps they tried Twitter and gave it up? On the other
hand, those with a very large number of tweets might be avoided (they
could be spammers, overwrought, or just too verbose!)
Breakdown
5
2.2%
1 to 49 »
4
1.8%
50 to 99 »
14
6.1%
100 to 499 »
23
10.1%
500 to 1k »
62
27.2%
1k to 5k »
39
17.1%
5k to 10k »
69
30.3%
10k to 50k »
11
4.8%
50k to 100k »
1
0.4%
100k to 500k »
avg: 12,943.27, median: 5,431
Languages of users eekim follows
Please note that Twitter only allows users to select from a
few languages. As well, many Twitter users who
tweet primarily in a foreign language may still have their official language set to English.
Breakdown
207
90.8%
English »
20
8.8%
Other »
Percent of tweets w/ URLs of users eekim follows
How many URLs do these folks tweet as a percent of their
total tweets? Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
2
0.9%
5 to 10% »
26
11.4%
10 to 25% »
45
19.7%
25 to 50% »
37
16.2%
50 to 75% »
10
4.4%
75 to 100% »
Retweets as a percent of timelines of users eekim follows
Retweets are an excellent measure of engagement. The more
someone retweets, the more he is consuming other peoples
tweets. That's generally a good thing (because it means they
are more likely to RT you). Here, we breakdown this audience
by the amount that they retweet (as a percentage of their
timeline). Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
5
2.2%
< 1% »
8
3.5%
1 to 5% »
12
5.3%
5 to 10% »
33
14.5%
10 to 25% »
30
13.2%
25 to 50% »
27
11.8%
50 to 75% »
5
2.2%
75 to 100% »
@contacts as a percent of timelines of users eekim follows
Similar to the above chart, we analyze how often this audience
@contacts another person (a tweet that begins with an
@mention). This score is the amount they @contact someone as
a percent of their timeline. Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
4
1.8%
< 1% »
13
5.7%
1 to 5% »
6
2.6%
5 to 10% »
31
13.6%
10 to 25% »
52
22.8%
25 to 50% »
10
4.4%
50 to 75% »
4
1.8%
75 to 100% »
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