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Algorithms for ranking the importance and authority of nodes within a network based on link structure.
Distinct from Structural Importance Ranking: Candidates focus on node linking or structural distance, not the flow of authority and citation ranking.
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This project is a data mining algorithm library and machine learning reference implementation. It provides a collection of tools for performing classification, clustering, and association rule mining, as well as a toolkit for nature-inspired optimization. The library includes specialized utilities for graph and sequence mining, enabling the extraction of frequent subgraphs and sequential patterns. It also features a dimensionality reduction utility that uses rough set theory to remove redundant attributes from datasets. The project covers a broad range of analytical capabilities, including n
Evaluates node importance in networks by calculating the flow of authority and citations.