Analysing your Google+ Page Content using SNA
Analysing your Google+ page content and the engagement it receives using SNA (social network analysis) provides some valuable insights – specifically: Who are your main advocates?
Why is this important to know?
If you have a popular G+ Page, like the example of Google+’s above, then time can be very short in supply.
Being able to quickly identify who does what with your content takes the guesswork out of managing a page and enables you manage your circles more effectively. E.g. You can put people that are consistently re-sharing your content into one circle – and place higher priority on checking their posts on G+. This will deepen the relationship you have with them.
How do you get to find yours?
Well, using the new functionality that we launched this week follow the steps below:
2) Click Load Other’s Activities
3) Enter your page’s 21 digit Google ID (e.g. https://plus.google.com/u/0/101560853443212199687 (which is Google+’s ) you need only enter the number highlighted in yellow
4) Click ‘Search’
NOD3x now starts pulling in approximately 100 of your posts that your page has published and at the same time the engagement each post has received… This can take a few minutes as it pulls the data in real-time (good time to make a coffee)
When the network (graph) first loads it will look something like this:
Which doesn’t really make a lot of sense, so let’s fix that…
Step 1 – Sort out the dots
This step will move all the nodes (dots) so that they correspond to each of respective posts. As you can see there are for node colours:
Blue = Original Posts
Green = Re-shares
Purple = Comments
Orange = +1s
Each of these nodes (except the blue ones that represent Google+’s posts) represents one person engaging with the content.
To sort the nodes correctly – click the green play button (shown below)
Again, depending on how many posts and the amount of engagement you have on each of your page’s posts, it can take a few minutes to display.
When your network looks something like the following example hit the red stop button.
Step 2 – Applying some filters
First, change the ‘Graph Order’ to Out-Degree, which will put the emphasis of the network on people that are engaging with your content. Then change the other layout options to the same as in the image below and then hit ‘Apply’.
Now our network visualisation looks like this:
It’s starting to make more sense now… we can see that some nodes in the centre are larger than others, and these are the ones we want to focus on – as they are the people that are engaging on our content the most.
So let’s apply another filter
Step 3 – reducing the noise
And by that I don’t mean that the other people in the graph aren’t important – far from it. This is purely a different focus from what we’re doing here.
On the right hand panel you will see ‘Filter Graph’ – move it one notch to the right like so…
Your graph should now look something like this:
And this makes things a lot easier to interpret and understand.
From here we can really begin to see who engages with our content the most.
E.g. Who re-shares our content the most and which posts
Who comments on our content the most
Conclusion: how else will you use this?
Well, influencers can amplify your message so, another example is if you place the people that +1 your content the most in another circle you can ask them questions privately with regards to ‘what they are specifically looking for’ – that way, when you post content that ‘ticks their boxes’ (and mention them in the post) you are more like to get a re-share.
If you have any questions relating to the above please leave them in the comments below
About the Author
Lee SmallwoodLaunched +NOD3x (http://nod3x.com) July '12, an online application that visualises individuals connections and engagements across Google+, YouTube, Twitter, Facebook, Linkedin, Blogs and the wider web. Free to use for all G+users View all posts by Lee Smallwood
Register in seconds using your Google+ account to access all the free training materials, presentations and resources.