In the last 6 weeks I have been looking at different Twitter tools to help provide an analysis of social mentions and communication for a client. I came across several different applications, some very useful, some gimicky, others which provide no real analysis of anything, it’s just complicating something really simple.This looks at the most recent 1000 tweets specific to a search word i.e. Michael Jackson; or specifically at a user ID like StephenFry. The graph analyses the most associated words and provides a time relevant overview of tweets. Further to this, you can see specific conversation trends/topic strings which provides an interesting analysis as a whole for a brand or person.
2) Twist
2) Twist
Twist like Twitter Stream Graph, looks at specific conversations and spikes. Interestingly it provides the breakdown of tweets (being measured), so you can specifically see what it is that is being discussed in relation to the topic.
3) Tweet Stats
3) Tweet Stats
This looks at Twitter usage for a specific user. Graphical breakdowns of average time of the day you tweet, the interface used, most reply to’s etc.
4) Stockholm Pride: How Hetero
4) Stockholm Pride: How Hetero
As the title suggests, Stockholm Gay Pride has adapted a Twitter module to analyse how homosexual your tweets are; more than anything to drum up interest in the event itself by embracing social media technology.
If we look closely at these modules, some can provide a great analysis of brands and people. Metrics based on volume of tweets and popularity are best placed to do this. Whilst one of the modules is very gimmicky (you can decide for yourself which one i’ve chosen), the remaining module is a sign of our changing technological times.
Ask yourself this however, Social Media is all about conversation. It’s no different than being a guest at a party where you initially know no-one. Conversations get drummed up, and eventually a conversation which you have had with one person in the room will be discussed with someone else you may never meet or speak to.
Twitter in this case is the chain. So are we complicating something through over analysis and metrics, that doesn’t otherwise need to be over complicated?
If we look closely at these modules, some can provide a great analysis of brands and people. Metrics based on volume of tweets and popularity are best placed to do this. Whilst one of the modules is very gimmicky (you can decide for yourself which one i’ve chosen), the remaining module is a sign of our changing technological times.
Ask yourself this however, Social Media is all about conversation. It’s no different than being a guest at a party where you initially know no-one. Conversations get drummed up, and eventually a conversation which you have had with one person in the room will be discussed with someone else you may never meet or speak to.
Twitter in this case is the chain. So are we complicating something through over analysis and metrics, that doesn’t otherwise need to be over complicated?
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