When using the Neumann kernel it is vitally important to chose a right value for the decay factor gamma Explain how to chose a gamma value that will make the value of farther away vertices more influe

The decay factor, gamma, in the Neumann kernel determines the rate at which the influence of a vertex decreases as the distance between the source vertex and the target vertex increases. A larger gamma value will result in a faster decay of influence, while a smaller gamma value will result in a slower decay of influence.

To make the value of farther away vertices more influential in a directed graph, one should choose a smaller gamma value. This is because a smaller gamma value means that the influence of a vertex will decay more slowly as the distance between the source vertex and the target vertex increases. As a result, vertices that are farther away from the source vertex will still have a significant influence on the target vertex, even if they are several steps away in the graph.

However, it is important to note that choosing a gamma value that is too small can result in the algorithm being overly sensitive to distant vertices, which can lead to instability and poor performance. Therefore, it is important to strike a balance between the decay rate and the sensitivity of the algorithm to distant vertices