nicolewhite

create (_0:`Gate` {`number`:1})
create (_1:`Gate` {`number`:2})
create (_2:`Gate` {`number`:3})
create (_3:`Gate` {`number`:4})
create (_4:`Gate` {`number`:5})
create (_5:`Gate` {`number`:6})
create (_6:`Gate` {`number`:7})
create (_7:`Gate` {`number`:8})
create (_8:`Gate` {`number`:9})
create (_9:`Gate` {`number`:10})

nicolewhite

<NotepadPlus>
    <UserLang name="Cypher" ext="cypher" udlVersion="2.1">
        <Settings>
            <Global caseIgnored="yes" allowFoldOfComments="yes" foldCompact="no" forcePureLC="0" decimalSeparator="0" />
            <Prefix Keywords1="no" Keywords2="no" Keywords3="no" />
        </Settings>
        <KeywordLists>
            <Keywords name="Comments">00// 01 02 03// 04</Keywords>
            <Keywords name="Operators1">( ) , = :</Keywords>
            <Keywords name="Folders in comment, open">CASE</Keywords>

nicolewhite

Datasets for Graph Hack 2014.

All stores are Neo4j 2.1.3.

Transportation

Flights

What is related, and how?

Flight	ORIGIN Airport

nicolewhite

import tweepy
from tweepy import Cursor
import unicodecsv
from unidecode import unidecode

# Authentication and connection to Twitter API.
consumer_key = ""
consumer_secret = ""
access_key = ""
access_secret = ""

nicolewhite

For Nick

Sample Data

I tried to copy your data model as I understood it. I created two User nodes each with five View nodes. User 1’s sequence of views touches a distinct set of Page nodes; User 2’s sequence of views is not a distinct set; User 2 visits the analytics page twice.

nicolewhite

import requests
import os
import time
from py2neo import neo4j

# Connect to graph and add constraints.
url = os.environ['NEO4J_URL']
# url = "http://localhost:7474/db/data/"
graph = neo4j.GraphDatabaseService(url)

nicolewhite

OSCON Twitter Graph

During the OSCON conference, the Neo4j team will be collecting tweets and adding them to a graph. Below is an example database of 15 tweets.

create (_0:`Tweet` {`text`:"RT @BrentVukmer: The worst things so far about @oscon - too many choices, not enough time."})
create (_1:`User` {`username`:"oscon"})

nicolewhite

library(RNeo4j)

graph = startGraph("http://localhost:7474/db/data/")

# Create time tree.
# Copied from http://www.markhneedham.com/blog/2014/04/19/neo4j-cypher-creating-a-time-tree-down-to-the-day/
timetree = "WITH range(2011, 2014) AS years, range(1,12) as months
            FOREACH(year IN years | 
              MERGE (y:Year {year: year})
              FOREACH(month IN months | 

nicolewhite

library(RNeo4j)
library(igraph)

graph = startGraph("http://localhost:7474/db/data/")
clear(graph)

create_users = "FOREACH (i IN RANGE(1,50) | CREATE (:User {id:i, name:'name ' + i}))

                WITH 1 AS dummy
                

nicolewhite

Solve the Widest Path Problem in Cypher

The widest path problem has a number of applications in many domains, including networking, shipping, and emergency response. Assuming the relationships between nodes in a graph are weighted by a capacity of some sort, the widest path problem involves finding the path between two nodes that maximizes the minimum capacity in the path.

Below, each node is a router in a city and the relationships between the routers have a bandwidth property indicating the bandwidth capacity of the two routers' connection. The direction of the connection is arbitrary.