Once the data is visualised, you can clearly observe and deduce several conclusions:

• Cliques. There are several cliques in this team. Creation of sub-groups is natural in any ad-hoc team environment though as a team leader you need to be aware of its impact on the rest of the team. It is ideally much better if they are eliminated, and the team can act as one well-connected group.
• Isolates and Outliers.  Certain individuals are isolated and are not fully connected with the rest of the team. They may not be as motivated to provide support for the team or their sense of significance and contribution may not be satisfied. Outliers are not connected to anyone at all.
• Critical members. Some members are critical to connect others to the rest of the team. If these individuals are unavailable such as being off-sick or on a business trip, some members may find it difficult to ‘stay in the loop’. This can lead to all sorts of problems not to mention increasing members’ stress level.
• Density. The density of the group may not be as ideal as you desire. This is the number of links currently in the network over all possible links. It is typical for managers to assume that their teams have a density of 50% or more while in reality that may be just 15%.
• Target comparison. How far away is the current network topology in comparison with the ‘target network’ that is desirable for the team?

Team networks are not usually designed; they are created based on needs, projects team members have worked on and the environment. A network that is emerged because of the environment may not be optimum. This is when the Network Analysis becomes quite valuable.