April 2025
Intermediate to advanced
268 pages
6h 17m
Portuguese (Portugal, Brazil)
Content preview from Algoritmos de grafos
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Capítulo 7. Algoritmos de grafos na prática
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Neste capítulo, vamos analisar vários exemplos para te dar uma melhor noção de como lidar com a análise de dados de grafos em grande escala, utilizando conjuntos de dados do Yelp e do Departamento de Transportes dos EUA. Vamos percorrer a análise de dados do Yelp no Neo4j, que inclui uma visão geral dos dados, combinando algoritmos para fazer recomendações de viagens e extraindo dados de utilizadores e de negócios para consultoria. No Spark, analisaremos os dados das companhias aéreas dos EUA para compreender os padrões de tráfego e os atrasos, bem como a forma como os aeroportos são ligados por diferentes companhias aéreas.
Como os algoritmos de pathfinding são simples, os nossos exemplos utilizarão estes algoritmos de centralidade e de deteção de comunidades:
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PageRank para encontrar avaliadores influentes do Yelp e depois correlacionar as suas classificações para hotéis específicos
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Betweenness Centrality para descobrir revisores ligados a vários grupos e extrair as suas preferências
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Propagação de etiquetas com uma projeção para criar supercategorias de empresas semelhantes do Yelp
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Centralidade de grau para identificar rapidamente os aeroportos centrais no conjunto de dados de transportes dos EUA
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Componentes fortemente ligados para analisar os grupos de rotas aeroportuárias nos EUA
Analisar dados do Yelp ...
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