Data Visualization with Cytoscape.js

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Data Visualization with Cytoscape.js

Cytoscape.js is a graph theory library written in JavaScript that is widely used to visualize network and graph data. Cytoscape.js makes it possible to add graph and network data visualization to web and desktop applications. Below are the basic steps and example code for data visualization using Cytoscape.js.

Install Cytoscape.js: To use Cytoscape.js, you must first download or load the necessary libraries from the CDN. The following is an example of using the CDN.

<script src="https://cdnjs.cloudflare.com/ajax/libs/cytoscape/3.18.0/cytoscape.min.js"></script>

Creating HTML Elements: Create a display area on HTML to visualize data using Cytoscape.js. Typically, use the <div> element.

<div id="cy"></div>

Initialize Cytoscape.js: Initialize Cytoscape.js and draw the graph in the display area.

var cy = cytoscape({
  container: document.getElementById('cy'), // Elements for displaying graphs
  elements: [ /* Specify node and edge data */ ],
  style: [ /* Specify style rules */ ],
  layout: { /* Layout setting */ }
});

Add data: use the elements option to add node and edge data to the graph.

elements: [
  { data: { id: 'node1', label: 'Node 1' } },
  { data: { id: 'node2', label: 'Node 2' } },
  { data: { id: 'edge1', source: 'node1', target: 'node2' } }
]

Set the style: Use the style option to customize the appearance of nodes and edges.

style: [
  {
    selector: 'node',
    style: {
      'background-color': '#3498db',
      'label': 'data(label)'
    }
  },
  {
    selector: 'edge',
    style: {
      'width': 2,
      'line-color': '#e74c3c'
    }
  }
]

Apply layout: Use the layout option to set the layout of the graph. For example, a random layout can be applied as follows

layout: { name: 'random' }

Drawing a graph: To draw a graph, call the cytoscape function with a cy object.

cytoscape(options);
Cytoscape.js Application Examples

Cytoscape.js is a general-purpose graph visualization tool that can be used in a variety of application cases. The following describes the main application cases of Cytoscape.js.

1. network visualization:

Cytoscape.js is useful for visualizing various types of network data, such as social networks, website link structures, and transportation networks. Nodes and edges can be used to explicitly display network structure and relationships.

2. bioinformatics:

Cytoscape.js is used in bioinformatics to visualize biochemical data. For example, it can be used to visualize protein-protein interaction networks, metabolic pathways, and gene expression networks, thereby facilitating understanding of biological processes and interactions.

3. database visualization:

Cytoscape.js can be used to visualize relevant data in a database. This will help users understand the data model by displaying relationships between tables and entities in the database.

4. web application:

Cytoscape.js can be embedded in web applications, allowing them to provide graphs as user interfaces. For example, it can be used in organizational charts, project management tools, educational applications, etc.

5. scientific research:

In scientific research projects, Cytoscape.js can help visualize the results of data analysis and represent the results of various experiments. Researchers can visualize trends and patterns in data as graphs to gain new discoveries and insights.

6. social network analysis:

Cytoscape.js is used to study social networks, including social network analysis and community detection. Node and edge attributes can be used to visualize different communities and centrality indicators in the network.

These are just a few applications of Cytoscape.js, but it is actually used in a variety of fields Cytoscape.js is a flexible and extensible tool that can be customized to fit specific projects and needs by adding custom styles and interactive elements.

Reference Book

Visualizing Graph Data

D3.js 4.x Data Visualization – Third Edition: Learn to visualize your data with JavaScript

Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise

Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

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