For the purposes of this exercise, I downloaded my LinkedIn network connections data, formatted the Excel file, and imported it into Kumu. I encountered the challenge of mapping 2000+ connections as the data requires tagging to properly identify and map the relationships. I discovered that my LinkedIn network primarily consists of sets, with a handful of nets (Dron, 2014). As identified by Dron (2014), some of my sets (e.g. previous workplaces) have naturally grown into networks over time. With me situated in the centre, the visible clustering represents the volume of connections who are employed at the same organization. In retrospect, I would have tagged the network members to clearly identify them. The tagging would have revealed network such as: Organizational Development College System Network, local Learning & Development network, current work colleagues, etc.
Dron, J, & Anderson, T. (2014). Teaching Crowds. Athabasca University Press.