In , two nodes are considered similar when they share neighborhoods.

Related MCQs

• In , nodes are similar when their neighborhoods are similar.
• In____________centrality, the intuition is that the more central nodes are, the more quickly they can reach other nodes.
• The more common neighbors that two nodes share, the more ______they are.
• ________centrality considers how important nodes are in connecting other nodes.
• Preferential Attachment is Nodes of higher degree have a ______chance of getting connected to incoming nodes
• When bias term is added to the centrality values for all nodes no matter how they are situated in the network it is called_______
• vertices that have a high probability of occurring on a randomly chosen shortest path between two nodes are said to have high
• When using network information, the similarity between two nodes can be computed by measuring their ________
• To compute structural equivalence, we look at the________ shared by two nodes
• Similarity between two nodes can be computed by measuring their_____equivalence