Your English writing platform
Discover LudwigSuggestions(5)
Exact(9)
This is a measure for finding the most influential node in a network.
This node can be considered as the most influential node having highest eigenvector centrality.
Our focal node (purple colored) is showing highest eigenvector centrality value in the network, which is the indication of the most influential node.
Then we extract a cluster of the most influential node and her neighbors (friends) located at the one degree of separation. 5.
Then we extract a cluster of the most influential node and her neighbors (friends) located at the one degree of separation.
By repeating this process exhaustively, the program will identify the most influential node and its little "tails" formed into one cluster (subgroup) (Newman 2004).
Similar(51)
Wang et al. [16] proposed a community-based greedy algorithm for identifying the most influential nodes.
Therefore, nodes v1 and v3 have the highest Katz centrality, and would be the most influential nodes.
For this purpose, finding popular or most influential nodes in the network has proven to be helpful [4].
The trends of searching most influential nodes are not just popular in social networks but also in many other fields.
In [17], Wang et al. proposed a community-based greedy algorithm for mining the most influential nodes.
More suggestions(15)
most discriminating node
most influential stylist
most influential covariate
most central node
most efficient node
most probable node
most connected node
most persuasive node
most overloaded node
most specific node
most influential work
most influential tribe
most nearby node
most influential player
most influential parameter
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com