Book Showcases Graph Algorithms for Data Science Using Neo4j · Digg

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Book Showcases Graph Algorithms for Data Science Using Neo4j

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Graph Algorithms for Data Science: With examples in Neo4jGraphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful...5h agoAmazon.com

KB Graph Algorithms for Data Science: With examples in Neo4jGraphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful...5h agoAmazon.com

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Tech P@Tech_p001TECH

@KirkDBorne Rows store data. Graphs store relationships. In the AI era, relationships are becoming the real competitive advantage.

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Positive100%0%Negative

Positive Read

Users praise graphs for storing relationships that create competitive advantage in the AI era, unlike spreadsheets or tables that flatten data.

Based on 4 visible X reactions from 3 accounts; directional sample.

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DrakeN 魔人@draken1721TECH

@KirkDBorne spreadsheets flatten reality, graphs keep the relationships that actually drive the signal.

DrakeN 魔人@draken1721TECH

@KirkDBorne The moat moved from tables to context.

Kirk Borne@KirkDBorneTECH

@Tech_p001 Exactly!

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Kirk Borne@KirkDBorneTECH

Graph Algorithms for Data Science: https://amzn.to/4s41GJ5 I have said this for years: "All the world is a graph!" The natural data structure of the world is a graph, not rows and columns: Connected things (IoT) Context engineering Cyber networks Environmental phenomena Food webs Graph analytics Graph databases Knowledge graphs Linked data Network science Neuroscience & brain connectivity PageRank search algorithm Propagation of diseases Semantic metadata Six degrees of separation Social networks Supply chains etc.

Kirk Borne@KirkDBorneTECH

In my big list of natural graph structures in the world (first post in this thread), I left out 2 biggies: Butterfly effect Global markets https://x.com/KirkDBorne/status/2074866980302041139/photo/1

Kirk Borne@KirkDBorneTECH

https://x.com/KirkDBorne/status/2074866106213232922/photo/1 https://twitter.com/Tech_p001/status/2074862589805240415

Kirk Borne@KirkDBorneTECH

https://x.com/KirkDBorne/status/2070565924521062891

Useful Links

Graph Algorithms for Data Science: With examples in Neo4j(Amazon.com)viaKirk Borne
Graph Algorithms for Data Science: With examples in Neo4j(Amazon.com)viaKirk Borne

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