After ourspectacular LiNC2010 conference last week we can now resume our discussion ofsocial networks. Last time when I was blogging about this topic I discussedhow to find influencers in a community. I described step-by-step how we build the social graph for the conversation network, what data we used, and how we filter the data to ensure content and temporal relevance. Finally, we looked at some real social graph data from Lithosphere using various node metrics that we’ve computed viasocial network analysis (SNA). Today, I will show you a few more social graphs from different communities to get a sense of the diversity of social graphs out there.
Since I started analyzing social graphs at Lithium, I’ve examine at least 15,000 social graphs across Lithium’s 200 or so clients (over 250 communities) spanning 10 years of history. One thing that I found is that social graphs, no matter how you construct them, are unique; no two communities are even remotely similar. Picking out just a fewtypical examples to show in a blog is not easy (I can probably write a book just on the different characteristics of social graphs I’ve seen!).