Social Network Analysis & Visualization

This was a great post by Lawrence Liu of Telligent. Lawrence is the Director of Platform Strategy and discusses how he leveraged NodeXL to provide analysis and visualization of some data sets of interest but more importantly the correlation between the benefit of visualizing data that exists within social networks.

Read the full post

This was the analysis that Lawrence provided on my coverage within our internal social network.

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Social Media & Your Campaign

One of the golden rules of marketing is having the ability to show your business or clients the value of the campaign that you are running on their behalf. With traditional web campaigns you could methodically calculate ROI based on Click-through rate and project your results. With the introduction of social media traditional models of analytics do not apply and the true value proposition is clouded in the minds of business decision makers. With the economy in it’s current state campaign dollars are less readily available and you better be able to deliver tangible results.

How can I show value? Is this the right investment? I know I need to connect with end users but what is the real value?

The key is social analytics that focus on campaign elements specifically around sentiment, tonality, social fingerprints and a model for calculating the incremental value of community.

If you are working on a viral brand awareness campaign how are you going to gauge the discussions that are occurring and the content that is generated within a social network and make sense of it? You need to have a mechanism to take all of the unstructured data and make sense of it all in order to show value.

With social analytics you can combine campaign specific keywords with system driven keywords. The net result is gaining a clear understanding of how users interact with the brand and the campaign by analyzing the tonality of the conversations that are occurring. Be it positive or negative, understanding how users are interacting with your campaign allows for quick responses to negative associations or additional investment in areas that create positive responses.

Also with any campaign the user profile is key. Understanding not only how users interact with content but how they interact as a whole is a key step in delivering the right message at the right time. With a social analytic system you should leverage one that provides a fingerprint for how a user interacts.

Finally when it comes to launching micro-campaigns within an existing community or social network you can leverage the group functionality to create a micro-community. With the right social analytic package you can then analyze just the data that is relevant to that group. The same sentiment analysis and other functionality is relevant even on the group level.

Organizational efficiency, social ROI, and social analytics are the key to unlocking the full potential tied to your unstructured data. Again what is the value of user generated content if you cannot quickly analyze it and make it meaningful.