Distinctiveness Centrality in Social Networks

Abstract

The determination of node centrality is a fundamental topic in social network studies. As an addition to established metrics, which identify central nodes based on their brokerage power, the number and weight of their connections, and the ability to quickly reach all other nodes, we introduce five new measures of Distinctiveness Centrality. These new metrics attribute a higher score to nodes keeping a connection with the network periphery. They penalize links to highly-connected nodes and serve the identification of social actors with more distinctive network ties. We discuss some possible applications and properties of these newly introduced metrics, such as their upper and lower bounds. Distinctiveness centrality provides a viewpoint of centrality alternative to that of established metrics.

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• Emergence of scaling in random networks
• Cooperative Game Theory Approaches for Network Partitioning
• Consistency and differences between centrality measures across distinct classes of networks
• The Semantic Brand Score
• Two betweenness centrality measures based on Randomized Shortest Paths

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