Recently I’ve been playing around with network graphing and social media. It’s been a fun experiment!
I first saw network graphing at E2 Conference in Boston during one of the key notes in 2012. The presenter did a realtime experiment asking us to tweet using a hashtag during his presentation, and then using NodeXL he was able to analyse the tweets and graph the interaction between participants of the conversation. Needless to say it got a pretty big reaction and it’s something that stuck with me since that day.
The use of network graphing (especially in real time!) has some amazing possibilities. Being able to see the interactions of your customers and then replay them after a marketing campaign finishes is just one of the many uses. The obvious benefit from this is having the ability to highlight the key individuals and environment that boosted your marketing push and gave it the fuel that made it go viral. The future for social analytics is huge due to the massive big data sets available to us, and super “fast data” software that is able to analyse this data at near real-time speeds.