Practical - 9

 

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?

Graph data science is linked to data science, where connexions are first-class people, and a stronger, more detailed forecast can be made using the ties between the data points.

How graph data is stored? and how it is represented?
Graph data is contained in storage files, each of which includes data, such as nodes, associations, labels, and properties, for a certain part of the graph. A data graph is a graphic display of knowledge from which we can more readily interpret similarities and patterns quickly.

How to visualize graph data and devise conclusions/results?
By looking at the graph correctly, we can imagine graph data and we can get the successful knowledge that shows mechanisms that might be present in the graphs and assist the user to understand that.

Output:

1.Neo4j

create database

                                                                                active database

                                                                                        

open in browser and create data

                                                                                

match

                                                                                   Delete                         

2. Gephi

the dataset used is heart disease

import dataset

preview in canvas

decrease edge weight 

                        

change color degree

Degree report

Degree Distribution

dataset link : click here