Graph analytics is the study and analysis of data that can be transformed into a graph representation consisting of nodes and links. This includes graph layout, network analysis, server-side graph storage solutions and big data.

Grakn.ai

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Grakn has something new and exciting but not yet ready for prime time.

Graph nets

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Learning from graphs rather than from tabular data.

Graph analytics with Spark GraphFrames

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Large scale graph analytics with Spark and Apache GraphFrames.

yFiles for HTML with ASP.Net MVC backend

yFiles HTML tutorial with an ASP.NEt MVC backend.

Graph databases

The shortlist of graph databases I keep an eye on. Many other NoSQL engines can store graph-like data, of course. Neo4j Neo4j is a graph database boasting massive performance improvements versus relational databases. It is very agile and…

iGraph analysis

Some concrete analysis of real-world graphs using iGraph.

1001 ways to create graphs in Mathematica

An overview of different ways to create graphs in Mathematica.

Discrete calculus on graphs

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This is an overview of the discrete differential calculus on graphs with an emphasis on the usage of Mathematica to perform related calculations.

Katz centrality

About important nodes in a network and the Katz measure.

Representing graphs in F#

An introduction to graphs in F#.