Figure 1From: Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics Generating influence networks. Influence networks are directed weighted networks (right) generated from undirected weighted networks (left). Illustrated here is an example of a coexpression network and its influence network. Influence is calculated as the proportion of total edge weights a given node shares with each of its neighboring nodes (see Methods). Here, red links show the influence of node A on nodes B and C, which are completely influenced by node A because they do not have other neighbors to influence them. Blue links show the influence of nodes B and C on node A. Node B has a greater influence on node A than node C because the weight of the edge linking B to A is greater than the weight of the edge linking C to A. The cumulative influence of each node is calculated by summing the values of all outgoing edge weights from a given node.Back to article page