Neo4j basis (detail)

web interface Basic Operations

create Create a node
create (node-name: label- name {property-name: property-value})
node eg create a single label, the node has four attributes

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Eg node to create multiple labels, the node has a property

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We continue to add some nodes to facilitate the following actions

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eg when creating a node at the same time set an association

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eg create an association to an existing node (Neo4j CQL CREATE command supports only the direction of the relationship)

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After eg return a node, you can view the nodes associated with him according to the association options node relationship information

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eg when creating a node can only attribute required of a good design, but does not fill a specific value is set to NULL, use IS NULL late to find this node and set the desired value

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match lookup relationship, or find nodes
return operation display information obtained
eg show all nodes

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eg to find a specific one node specific information

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eg finding information a node of class

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eg find a class of node points in accordance with the label

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eg find nodes based on point properties

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egMatch combined with the intermediate processing results

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eg node for multiple tabs, you can specify the label to find

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Delete delete- or delete nodes associated with
eg such as we build some relationship between students and found that clutter intend to delete just added Relations

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eg found Friends of the relationship between Sylvia and set Nile node problem, delete re-add relationship

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eg remove duplicate node

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Appropriate to add some other relationship

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Add or delete attributes (the SET, the Remove)
EG added a tagline

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eg add a property

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eg remove a property

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Detach delete and delete: the former delete nodes and relationships, which just delete nodes
eg delete tagline

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tagline

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Tagline: Some feature node can not
Property: attribute may be a node may be associated attributes
Label: label, a node classification
Filter according to defined conditions where
Sort by the Order
EG by name in descending order

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Union
EG can see two queries before and after the Union needs to have the same column name

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eg statistics teacher student id

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Limit
EG limit display two nodes (according <id> ascending order of display)

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Where <id> is automatically numbered, and we can use it to node query by looking up or operation
eg for <id> node 1 = query

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Skip Skip several nodes
egskip 3 skips the first three nodes

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Merge operation
EG Merge for node does not exist, the effect similar to create

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eg for existing points, only to find his role, and will not add nodes

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In operation
eg meet the selection criteria a given interval

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Fonts and display settings

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You can choose the color size, caption section can choose to display the title
String Functions

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Aggregation function (similar to SQL, a statement in the return clause)
the maximum and minimum self node id eg

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The number of piano eg hobby (statistics for specific attributes)

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eglabel for the number of students (statistics for a particular label)

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Relations function
we first establish a small module, to facilitate subsequent operations

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eg to find the beginning of a relationship

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The same can also be found eg end

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eg when relations with specific attributes, we can find a specific relationship by limiting the attributes end and beginning

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eg while relations can query id, type, and some properties

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With a schema can look at the current situation index and constraint

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Index
eg create an index

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eg see the index

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eg delete indexes

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Index role: query optimization process
unique constraints
eg create a unique constraint, attempt to insert a violation data, an error is detected

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For the third-party software Neo4j

Apoc: Awesome Procedures on Cypher (encapsulates some complex cypher write function)
Open source visual component library :( can be adjusted) according to their characteristics of the project
D3.js: a JavaScript library based data processing document, can be achieved by operating data visualization HTML, SVG, CSS. We can introduce the page Neo4j end of JavaScript js library of API calls Neo4j to get the data, and then according to the organization D3.js API JSON data, and then render.
vis.js, Sigma.js, Vivagraph.js, yWorks
Visualization scheme :( package easier to use, fully encapsulated, availability)
Gephi, Keylines, Linkurio.us, Tom Sawyer FIG visualized
(Neo4j Browser)
Neoclipse: help to better adjust, create, display database Neo4j
a graph database utility designed to help you view and modify Neo4j databases when it comes to various properties and relationships, as well as to create new nodes and relationships.

Figure database instance modeled on practice (fraud)

Background: First-Party- Bank-Fraud Fraud real name / First Party Fraud
nature: practical invent himself or herself or another person's identity, forged identity fraud, bank fraud specific to the first party to include credit card fraud, credit fraud, fraud overdrafts, unsecured credit fraud, etc., to defraud money from the bank through credit cards, loans and other tools, but a big problem there is no willingness to repay, which is facing the banks.
Fraud ring normal modes of operation:
a group of two or more people or a fraud ring composed of two, they share some of the information a legitimate contact, and then create multiple identities synthesized by different combinations of information. Fraud ring to use these identities to open accounts, normally used for some time, because the bank account of the lawful detected increased credit limit. Suddenly one day, everyone maximize the use of the credit line and then disappeared, leading to debt can not be recovered.
Why use a database diagram:
Graphs are the Designed to Express relatednessthey CAN Uncover Patterns 'apologetic' to the catch by Traditional Database.
Operational drawing database: entity set different stages of analysis test
Simulation step

3 contacts and create three accounts
Create an address to associate to a three contact address
Create two telephone numbers, associating the three contacts for both phone numbers
Create two SSN (community security account), were associated with three contacts
Three each account or apply for a credit card without a mortgage
An entity associated analysis: Find contact information shared by multiple legitimate account holders, and calculate the potential financial risks
Below are the results achieved, the specific code attached to the end of the

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Then analyzed for a number of entities associated with the model
Analysis shared by multiple legitimate contact information of the account holder

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Calculation of possible financial risks

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create
(accountOwner1:AccountOwner{FirstName:"Sylvia",LastName:"Song",UniqueID:"SylviaSong"}),
(accountOwner2:AccountOwner{FirstName:"Angle",LastName:"Hao",UniqueID:"AngleHao"}),
(accountOwner3:AccountOwner{FirstName:"Jacky",LastName:"Song",UniqueID:"JackySong"}),
(address1:Address{Street:"123 NW1st Street",City:"Beijing"}),
(accountOwner1)-[:HAS_ADDRESS]->(address1),
(accountOwner2)-[:HAS_ADDRESS]->(address1),
(accountOwner3)-[:HAS_ADDRESS]->(address1),
(phoneNumber1:PhoneNumber{PhoneNumber:"111-111-11111"}),
(phoneNumber2:PhoneNumber{PhoneNumber:"222-222-22222"})
                                <-[:HAS_PHONENUMBER]-(accountOwner3),
(accountOwner1)-[:HAS_PHONENUMBER]->(phoneNumber1),
(accountOwner2)-[:HAS_PHONENUMBER]->(phoneNumber1),
(SSN1:SSN{SSN:"241-23-1234"}),
(accountOwner2)-[:HAS_SSN]->(SSN1),
(accountOwner3)-[:HAS_SSN]->(SSN1),
(SSN2:SSN{SSN:"241-23-5678"}),
(accountOwner1)-[:HAS_SSN]->(SSN2),
(creditCard1:CreditCard{AccountNumber:"1234567890123456",
                        Limit:5000,
                        Balance:1442.23,
                        ExpirarionDate:"01-20",
                        SecurityCode:"123"})<-[:HAS_CREDITCARD]-(accountOwner1),
(creditCard2:CreditCard{AccountNumber:"1234567890123456",
                        Limit:4000,
                        Balance:2345.56,
                        ExpirarionDate:"02-20",
                        SecurityCode:"456"})<-[:HAS_CREDITCARD]-(accountOwner2),
(bankAccount1:BankAccount{AccountNumber:"2345678901234567",
                          Balance:7054.43})<-[:HAS_BANKACCOUNT]-(accountOwner1),
(bankAccount2:BankAccount{AccountNumber:"3456789012345678",
                          Balance:4231.12})<-[:HAS_BANKACCOUNT]-(accountOwner2),
(bankAccount3:BankAccount{AccountNumber:"4567890123456789",
                          Balance:12345.45})<-[:HAS_BANKACCOUNT]-(accountOwner3),
(unsecuredLoan1:UnsecuredLoan{AccountNumber:"4567890123456789-0",
                              Balance:9045.53,
                              APR:.0541,
                             LoanAmount:12000.00})<-[:HAS_UNSECUREDLOAN]-(accountOwner2),
(unsecuredLoan2:UnsecuredLoan{AccountNumber:"5678901234567890-0",
                              Balance:16341.95,
                              APR:.0341,
                              LoanAmount:22000.00})<-[:HAS_UNSECUREDLOAN]-(accountOwner3)

Reproduced in: https: //www.jianshu.com/p/9e3c4892ab3e

Neo4j basis (detail)

web interface Basic Operations

For the third-party software Neo4j

Figure database instance modeled on practice (fraud)

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