Eigenvector Centrality

Eigenvector Centrality (EC) is a metric used in the Local Protocol to measure the influence of nodes within the transaction graph. It calculates a node's centrality based on the centralities of its neighbors, making it a recursive measure of real connectivity.

EC serves as a proxy for determining real transactions and participant trustworthiness, especially in environments with limited service proofs. It helps allocate rewards more accurately by emphasizing participants who contribute to a well-connected network.

Key Concepts#

• Recursive Influence: Nodes connected to other influential nodes gain higher centrality.
• Security Mechanism: EC discourages fake transactions by making it harder to achieve high centrality without genuine connectivity.

Next Steps#

In the next section, we’ll explore Sybil Resistance, which further enhances the protocol's security against adversarial threats.