Map 8.d.3 - Kleiner Perkins, Sequoia Capital, & Intel Capital Person Map


This is the Person Map for the combined networks of Kleiner Perkins Caufield and Byer, Sequoia Capital, and Intel Capital. This is a strange looking map with many small groups, strings, or pairs of nodes that are all separate from one another. This may seem weird, but it can actually be interpreted as saying something positive about how these three large investors related to each other.

Why are nodes linked to each other, but not the rest of the network?
In the top right corner of the map there is a pair of nodes for Al Gore and Arthur Levinson. These two nodes are linked, but they are not connected to anything else in the network. The current setting for the MinLink feature is 2, which is the default setting. This means that two links must share at least 2 company affiliations in common for a link to be drawn between them. These two nodes are connected because Arthur Levinson and Al Gore have served as Board Members on two of the same companies. However, neither Arthur Levinson nor Al Gore shares two affiliations in common with any of the other Person nodes in the network, so they cannot be linked to any of the other Person nodes. This is why they are isolated, and this is the same reasoning for all of the other isolated pairs and groups as well.

Why are there so many isolated groups in this network?
Kleiner, Sequoia, and Intel all have large numbers of investments, and it is a testament to their portfolio management that there is so little clustering in this map. If there were dense clusters it mean that the same Board Members (representatives from the Investors) were being assigned to the same companies as each other on multiple occasions. This would show a lot of overlap in terms of investing in the same companies and then assigning the same representative to their boards. The fact that this pattern does not exist shows that these investors are acting independently and that the links that emerge in the Person Map are due to random occurrence more than anything else.

Once that is understood, it could still be interesting to investigate the clusters and connections that appear in this map and understand what common affiliations have produced them.