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What are the types of topological proximity measures in networks? 


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Topological proximity measures in networks can be categorized into different types. One type is node similarity measures, such as Common Neighbor and Adamic-Adar, which have shown promising results in biomedical link prediction tasks . Another type is the concept of topological proximity using generalized Erdős numbers (GENs), which define a personalized measure of node importance and centrality in weighted networks . Additionally, there are measures that behave well for most network topologies, as demonstrated in the efficiency analysis of proximity measures for clustering networks with different structures . These different types of topological proximity measures provide valuable insights into network analysis and can be used to understand spreading dynamics and identify influential nodes in various types of networks .

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The paper does not explicitly mention the types of topological proximity measures in networks.
The paper does not explicitly mention the types of topological proximity measures in networks.
The paper does not explicitly mention the types of topological proximity measures in networks.
The paper discusses the concept of topological proximity in networks using the generalized Erdős numbers (GENs) as a measure.

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