Practical-9

Aim:Execute queries in the Neo4j graph database and in Gephi tool perform the operations of loading csv data, running graph statistics scripts and displaying various graphical layouts.

Theory:

What is graph data?

In computing, a graph database(GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data.The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes.

How it is stored?

Graph is stored in the form of Nodes and Edges with their edges weight.

How to visualize graph?

We can Visualize graph with connecting Nodes by Edges also we can visualize with the graph visual tools.

Describe: List out all types of graph analytics tools and its application in various domains.

Neo4j Graph :

Neo4j is an open-source, NoSQL, native graph database that provides an ACID-compliant transactional backend for your applications.This means that the data is stored exactly as you whiteboard it, and the database uses pointers to navigate and traverse the graph.











Gephi Tool:

Gephi is a tool for data analysts and scientists keen to explore and understand graphs. Like Photoshop but for graph data, the user interacts with the representation, manipulate the structures, shapes and colours to reveal hidden patterns.

Gexf format file: 

·                  In the menubar, go to File Menu and Open...

·                  Here we are going to use the sample gexf file

·                  Now open gexf file You will get the import report

·                  The import report sum up data found and issues.

·                  Import Report Contains of  Number of nodes, Number of edges, Type of graph


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                                                                          Dataset import from local files




Dataset import from local files

 Degree Distribution of imported Dataset


Size Distribution of database


By Clicking on the node we can see other connected nodes and edges



   





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