jexp

REPLACEME: TITLE OF YOUR GRAPHGIST

Introduction

jexp

#!/bin/bash

end="$((SECONDS+10))"
while true; do
    [[ "200" = "$(curl --silent --write-out %{http_code} --output /dev/null http://localhost:7474)" ]] && break
    [[ "${SECONDS}" -ge "${end}" ]] && exit 1
    sleep 1
done

jexp

Dolphin Social Network

This gist is a little experiment based on this academic paper:

"" Many complex networks, including human societies, the Internet, the World Wide Web and power grids, have surprising properties that allow vertices (individuals, nodes, Web pages, etc.) to be in close contact and information to

jexp

What is this about?

This script parses the git log and outputs Cypher statements to create a Neo4j database of your git history.

BEGIN
create constraint on (c:Commit) assert c.sha1 is unique;
COMMIT
BEGIN
CREATE (:Commit {author_email:'foo@bar.com',date_iso_8601:'2014-05-22 20:53:05 +0200',parents:['b6393fc9d5c065fd42644caad600a9b7ac911ae2'],refs:['HEAD', 'origin/master', 'master', 'in-index'],sha1:'934cacf9fe6cd0188be642b3e609b529edaad527',subject:'Some commit message',timestamp:'1400784785'});

jexp

= The Neo4j GraphGist Console =

This is a sample GraphGist explaining some of the base concepts of sharing graphs using http://docs.neo4j.org/chunked/milestone/cypher-query-lang.html[the Cypher query language].

[source,cypher]
----
CREATE ({name:'you'})-[:SEE]->({name:'This GraphGist'})-[:FORK_ON_GITHUB]->(your_gistfile{name:'Your Gist'})
CREATE (your_gistfile)-[:INSERT_ID_HERE]->({name:'Your GraphGist'})
----

jexp

The 2016 NFL Draft

Introduction

jexp

Media, Politics and Graphs

Here is Rik Van Bruggen's original blog post.

My dear friend and neo4j community member Ron recently pointed me to an amazing piece of work. Thomas Boeschoten, of the Utrecht Data School among many other things, published some amazing work of analysing the Dutch Talk Shows from different perspectives, using Gephi as one of his tools. Some of his results are nothing short of fascinating, and very cool to look at.

…​

jexp

Email Marketing Analytics App

Problem Statement

I want to summarize the email engagement for a particular contact in my database. The summary stats that I am looking for are:

jexp

= Why JIRA should use Neo4j
:neo4j-version: 2.1.0

== Introduction

There are few developers in the world that have never used an issue tracker. But there are even fewer developers who have ever used an issue tracker which uses a graph database. This is a shame because issue tracking really maps much better onto a graph database, than it does onto a relational database. Proof of that is the https://developer.atlassian.com/download/attachments/4227160/JIRA61_db_schema.pdf?api=v2[JIRA database schema].

Now obviously, the example below does not have all of the features that a tool like JIRA provides. But it is only a proof of concept, you could map every feature of JIRA into a Neo4J database. What I've done below, is take out some of the core functionalities and implement those. 

== The data set

jexp

= People, books and cities 

== Modeling the Graph
Let's take a look at the domain model:

image::http://i.imgur.com/TJCNW0b.jpg?1[]

//setup
//hide
[source, cypher]