Graph Analytics: Graph Algorithms inside Neo4j - Amy Hodler and Michael Hunger, Neo4j

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  • Опубліковано 8 січ 2018
  • This past summer, Neo4j released its first set of graph algorithms designed to help organizations understand their graphs at a global level. This session will discuss the algorithms for community detection, centrality and path finding. These complement long-standing graph navigation and traversal functions of which Neo4j is known. This growing graph analytics library is sure to become a foundation in your data science and development work.
    Speakers: Amy Hodler, Partner and Analytics Marketing, Neo4j and Michael Hunger, Head of Developer Relations, EMEA; Neo4j Community Caretaker, Neo4j
    Location: GraphConnect NYC 2017
  • Наука та технологія

КОМЕНТАРІ • 3

  • @abdulwahidgul
    @abdulwahidgul 6 років тому +1

    Small correct, it's not 7 degree of separation, it's 6 degree of separation. Kevin Bacon is a Hollywood actors which worked with almost all the Hollywood actors making him the bridge node amount the network of actors.

    • @valdiskrebs566
      @valdiskrebs566 Рік тому

      Yet, Bacon was NOT the "best" connected actor!!! Who was it?

  • @user-ul6bw9ve6k
    @user-ul6bw9ve6k 5 років тому

    If the graph analyst algorithm is written in Python, should I rewrite it in Jython and deploy it to Neo4j? If I use py2neo and call python algo instead, what`s the difference?