Not a Twitter BigWig? Here’s why it doesn’t really matter.

twitter_big-wig_impressionsFirst of all, this is Twitter. A social network. When did people start taking stuff on the social scene so seriously? For a sizeable number of tweeps, what they post on Twitter doesn’t really hold any water; It would price about as much as bar conversation would. Reason being it is held on a social space that was started to ease and cheapen message across the internet with a 140 character restriction.

Aside from the above, there’s a guy who wrote the article used Klout to calculate BigWig influence scores.

A while back I wrote on juuchini Klout is a web service that calculates influence based on tweets, retweets, replies and/or following. A list posted on a WestFm website here had a list of people who apparently have the highest Klout in the Kenyan social scene, hence running Twitter. Unfortunately, this could not be further from the truth. Keen analysis of Social Interaction and how social media survives show a lot of dependence on networks. Networks and how they are controlled is highly complex. Especially user controlled networks like Twitter and Facebook. For instance, how do you measure impressions on Twitter? How do you know how many Twitterati see your tweet?

Case in point: If you go and post something on Twitter today and it is funny, it gets a retweet. This happens regardless of the number of followers you have. The only difference is that when you have many followers, your content has a better chance of getting round the world faster. If you have fefew followers and one of your few followers has a huge following, stuff still gets round the world. Just via someone else. You can see what I am going with this.

At the end of the day, content is still king. No? Yes, No. Not just content, it has to be original content. Someone who has two followers could tweet something authentic and it gets copy-pasted by someone who has 40,000 followers. Whose content does it become? Shouldn’t the guy who came up with the joke get the credit? There’s my issue with these scores.

But just to be sure, try another tool. Kredly. I perceive it more accurate. It measures more than just influence.

Here’s a list of how the top 30 bigwigs from a writer’s list performed on


 ID Twitter Handle Outreach (per 10) Influence (per 1000)
1 @olivermathenge 8 788
2 @joewmuchiri 9 904
3 @akenyangirl 9 871
4 @marcusolang 9 804
5 @robertalai 9 852
6 @koinangejeff 8 888
7 @ramah_nyang 8 834
8 @_ramzzy_ 9 896
9 @coldtusker 9 875
10 @sickolia_ 9 906
11 @itsbuddhablaze 9 863
12 @larrymadowo 8 857
13 @mediamk 9 885
14 @alykhansatchu 10 917
15 @ngendo87 8 794
16 @timnjiru 9 839
17 @thekimutai 8 885
18 @sunnysunwords 8 809
19 @bobcollymore 7 852
20 @lwalubengo 8 788
21 @martha_w_karua 6 798
22 @skmusyoka 5 770
23 @pkukubo 5 726
24 @sokoanalyst 9 796
25 @evabulence 9 855
26 @carolinespencer 9 856
27 @julianikenya 7 824
28 @vanderwangwe 9 894
29 @ckirubi 6 770
30 @kenyanpundit 7 800
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