Graph Network

Network Chart

This network chart visualizes connections between named individuals using a force-directed layout. Nodes are rendered as pink circles with violet text labels, while orange links between them have stroke widths proportional to the link weight data from the local `graphFile.json`. The visualization uses the older `d3.layout.force` API (from d3 v4) with gravity, charge, and distance parameters to position the graph, and supports interactive dragging of nodes. The SVG is drawn dynamically, with each node’s position updated on every tick event.

PPavaniMangugari

Social Network Graph

This social network graph visualizes the relationships between individuals, with nodes representing people and links representing their connections. The network layout is computed using D3.js force-directed algorithms, specifically `d3.forceSimulation` with `d3.forceLink`, `d3.forceManyBody`, and `d3.forceCollide` to position nodes based on their interactions. Users can drag nodes to explore the graph, and hovering highlights a node with a green stroke. The visualization is rendered as an SVG using React, with data loaded from a JSON file.

Ggeethanjalikotaru

Network Graph

This interactive network graph visualizes a social network of friends, with nodes representing individuals and links showing their connections. The layout is computed using D3's force-directed simulation, combining `d3.forceSimulation` with `forceLink`, `forceManyBody`, `forceCollide`, and `forceCenter` to position nodes with repulsion and attraction. Rendered as an SVG, the graph reads JSON data from a GitHub gist and displays each node as a circle with a label, using colored lines and styling from CSS.

AAISWARYAMARAPATLA1999

Network Graph

This network graph visualizes relationships among individuals and locations, with nodes labeled by names like "UNT" and connections indicating links between them. The interactive force-directed layout, built with d3.forceSimulation, incorporates link, many-body, collision, and center forces to position the nodes. The SVG renderingshowcases teal circles with direction arrows, while mouseover highlights a node using a CSS class. Data is loaded from a JSON file defining nodes and links, with colors assigned via a simple color scale.

SSravani93-creater

network

This network visualization shows a small social graph of seven named individuals with weighted connections between them, rendered as green nodes with yellow labels on a black background. The force-directed layout, built with d3.layout.force from d3.v4, positions nodes and links while supporting drag interaction. The code loads data from data.json via d3.json, then uses SVG line elements for links with stroke-width determined by the square root of each link's weight, and groups for nodes with attached circles and text labels.

Ddivyagunuguntla

Network chart

This network chart visualizes a small social graph of seven individuals across four groups, with links between them weighted to indicate relationship strength. The visualization uses a force-directed layout to position nodes, with each node rendered as a circle accompanied by a text label. The code employs the `d3.layout.force` API from D3 v4 to simulate the physical forces that arrange the nodes, and users can click and drag nodes to reposition them. Links are drawn as lines with stroke widths proportional to the weight data from the `graphFile.json` source, and the SVG canvas is styled with a tan background and green node circles.

Eeravellisaimeghana

Network chart

Eeravellisaimeghana

Network graph of social connection

This example shows a network graph of social connections, with nodes representing characters from a fictional world and links indicating relationships between them. The graph uses D3’s force layout (d3.layout.force) to position nodes, which are rendered as purple circles with dark outlines and labeled with names. Links appear as black lines, and link thickness is set based on a numeric weight attribute when present. Users can click and drag nodes to rearrange the layout, which updates in real time. The visualization reads data from a local JSON file and renders entirely in SVG.

SSamanvitha1