Practical:10 Getting started with Neo4j and Gephi Tool

This blog contains two different tools , Neo4j and Gephi tool for data visualization in graphical form .

Neo4j

Neo4j delivers the lightning-fast read and write performance you need, while still protecting your data integrity. It is the only enterprise-strength graph database that combines native graph storage, scalable architecture optimized for speed, and ACID compliance to ensure the predictability of relationship-based queries.

In simple words, Neo4j is the MySQL of the graph databases. It provides a graph database management system, a language to query the database, a.k.a CYPHER, and a visual interface with the neo4j browser.

Advantages of Neo4j

Following are the advantages of Neo4j.
  • Flexible data model − Neo4j provides a flexible simple and yet powerful data model, which can be easily changed according to the applications and industries.
  • Real-time insights − Neo4j provides results based on real-time data.
  • High availability − Neo4j is highly available for large enterprise real-time applications with transactional guarantees.
  • Connected and semi structures data − Using Neo4j, you can easily represent connected and semi-structured data.
  • Easy retrieval − Using Neo4j, you can not only represent but also easily retrieve (traverse/navigate) connected data faster when compared to other databases.
  • Cypher query language − Neo4j provides a declarative query language to represent the graph visually, using an ascii-art syntax. The commands of this language are in human readable format and very easy to learn.
  • No joins − Using Neo4j, it does NOT require complex joins to retrieve connected/related data as it is very easy to retrieve its adjacent node or relationship details without joins or indexes.

Let’s start the demo,

For the example, I am running a hello world query that will create the 2 nodes called Neo4j and Hello world and 1 relation called says.



You can see that the 2 nodes are created and one relation called says is created using the query.



In the below image you can see the table view of nodes and relations.



I am using example project for the demo. Start the Movies database and see the database in the Neo4j browser.


After that load the movie database to the neo4j and it will show the data in graph format.


In this database, There are 9 person nodes and 8 movies nodes, and a total of 18 relationships between nodes. use the below command to find total nodes.



Find labels in the database & types of relationships between tables.



By using this query to know how the person is connected to the movie.


List of movies released in the 1990s.


The query for list all tom hanks movies.
Cloud atlas.



Gephi 

Gephi is an open-source network analysis and visualization software package. It is mainly used for visualizing, manipulating, and exploring networks and graphs from raw edge and node graph data. It is an excellent tool for data analysts and data science enthusiasts to explore and understand graphs.

Import your Dataset

1. On loading the dataset it would show the number of nodes and edges present in the dataset as well as the type of the graph.

2. Below is how all the nodes and edges are displayed when initially data is loaded.
3. Now we can represent the data in various layouts. In the left pane choose the layout option and choose the layout of your choice and click on Run.


You can change the color of any node and visualize the dataset in a better way.

That’s all for this introduction to the Neo4j tool and Gephi tool. You can easily visualize all the info in this tool.

Thank You:)

Comments

Post a Comment

Popular posts from this blog

18IT100_Practical_Exam_Work

Image
Task-1: Dataset Description using Orange tool. What is need to be done to improve the accuracy of the classification result of the given dataset? Get the maximum classification accuracy possible by performing the following methods. -->Pre-processing o Encoding o Normalization o Missing value handling o Feature Selection Compare your accuracy with and without applying pre-processing steps. Perform the Classification and visualize accuracy before and after preprocessing in Orange/Python. What is Data Pre-processing? In any Machine Learning process, Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. In other words, the features of the data can now be easily interpreted by the algorithm. Encoding Encoding is the process of converting data from one form to another. While "encoding" can be used as a verb, it is often used as a noun, and refers to a specific type of encoded data Nor...
Read more

Practical:11 PREDICTING GENDER AND AGE USING IMAGE DATA IN PYTHON

Image
What is OpenCV? OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks TensorFlow, Caffe, and PyTorch. What is a CNN? A Convolutional Neural Network is a deep neural network (DNN) widely used for the purposes of image recognition and processing and NLP. Also known as a ConvNet, a CNN has input and output layers, and multiple hidden layers, many of which are convolutional. In a way, CNNs are regularized multilayer perceptrons. Age and gender, two of the key facial attributes, play a very foundational role in social interactions, making age and gender estimation from a single face image an important task in intelligent applications, such as access control, human-computer interaction, law enforcement, marketing intelligence and visual surveillance, etc. Her...
Read more