# EigenTrust EigenTrust is a reputation-based trust management algorithm that evaluates the trustworthiness of peers in peer-to-peer networks. The algorithm calculates a reputation score for each peer based on feedback from other peers in the network. The algorithm is based on an opinion matrix that describes the distribution of the reputation owned by the peers in the network. The opinion matrix is used to calculate new scores for each peer, and the process is repeated until the scores converge. EigenTrust uses a recursive algorithm that involves updating the scores for each peer based on the scores of the other peers in the network. The algorithm is designed to be resilient against collusion and free-riding, two common problems in peer-to-peer networks. The EigenTrust algorithm can be used in a variety of decentralized decision-making applications, such as decentralized autonomous organizations (DAOs), prediction markets, and reputation systems. It can also be used in peer-to-peer networks to facilitate content discovery and recommendation. **Main characteristics:** * Self-policing - the shared ethics of the user groups is defined and enforced by the peers themselves and not by some central authority. * Incorruptible - Reputation should be obtained by consistent good behavior through several transactions. It is resistant to sybil attack through mechanisms of bootstrapping or sybil rank filtering algorithm. * Permissonless - New peers can join the system without the permisson of central autorithy, given that they satisfy certain critirea. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://eigen-books.gitbook.io/eigen-trust/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.