Related Categories

Network Insights

Network Graphs are a new area of analytics for most people. As such, we recommend utilizing the Insights panel to guide you through network analysis. The insights generated in VIP can assist users in finding semantic meaning in the network structure and interpret the visualization correctly.

Community Leaders

Community leaders are nodes that are adjacent to (or share an edge with) at least 20% of the nodes in their community. If there are multiple nodes in a community that satisfy this condition, the node with the highest level of connectivity (most coverage) within the community is selected. The Node ID’s for the community leaders will be highlighted (or a small selection if there are many). Since the community leaders are so well connected within their community, analyzing those nodes may help you interpret what the overall community represents relative to the rest of the network.

Largest Community

We highlight the largest community and show the number of nodes in this community. Frequently in network analysis, there is 1 major community with several satellite communities that sit just outside the main community. This insight is useful for quickly contextualizing and orienting yourself around the network.

Most Influential Community

In order to determine the most influential community, a community graph is created where each node represents a community from the original network graph. The edges in the community graph are representative of the collective edge weights between each pair of communities in the original network graph. The most influential community is determined to be the community with the highest PageRank value in the community graph.

Most Tightly-Knit Community

Virtualitics determines the most tightly-knit community by computing the Clustering Coefficient for the network and identifying the community with the highest median clustering coefficient.

The nodes in the most tightly-knit community are highly connected to each other and will have a high clustering coefficient. However, this metric does not take into account any connections to other communities.

Most Central Community

The most central community is determined by computing the Graph Distance metrics. For each node we determine the average of the betweenness and closeness centrality metrics; we can refer to this new metric as the overall centrality measure. Then we determine which community has the highest median value for our overall centrality measure.

The most central community in the network plays an important role in that its nodes are close (in terms of graph distance) to other nodes and in that the most efficient paths through the network tend to pass through these nodes.

Most Isolated Community

The most isolated community is determined by computing the Graph Distance metrics. Specifically, the community with the lowest median Closeness Centrality is the most isolated community.

The most isolated community is weakly connected to the other communities in the network. This implies that the nodes in the community are niche or not alike the other nodes and communities of the network in some way.

NOTE: Network Insights are always specific to the visible nodes. This means that when you filter out nodes (and as a result, edges), you are changing the overall structure of the network and the insights will be updated.