8.3

Fork of ice8-3

This fork of ice8-3 displays a directed network of soccer players, positions, and teams as labeled nodes connected by arrows. The graph uses D3.js v7 with a force-directed layout via `d3.forceSimulation`, combining `forceLink` for edge attraction, `forceManyBody` for repulsion, and `forceCenter` to keep nodes near the center. Node labels show entity names (e.g., "Player: Lionel Messi"), and arrows indicate relationships with markers defined in SVG defs. The visualization renders as an SVG with a background container, using sample data hardcoded in the script.

Rranjithkmr598@gmail.com

84% match

Network Graph - ICE8

This network graph visualizes a friendship network of ten footballers, including Haaland, Messi, and Ronaldo, using force-directed layout. The visualization loads data from `data.json` and applies `d3.forceSimulation` with `forceLink`, `forceManyBody`, `forceCollide`, and `forceCenter` to position nodes. Rendered as SVG, nodes appear as large green circles with labels, and links use arrowheads defined in SVG `defs`. Users can drag nodes interactively via D3’s drag behavior, which updates node positions in real-time.

Rrcaptain404@gmail.com

80% match

Mmadipadiga.raviteja@gmail.com

Fork of network tree

This network graph visualizes friendship connections among ten footballers, using a force-directed simulation to arrange nodes and links. Each node is a green circle labelled with a player’s name, and orange arrowheads mark the directed relationships between them. Built with D3.js, it employs `d3.forceSimulation`, `d3.forceLink`, `d3.forceManyBody`, and `d3.forceCollide` to position the nodes, with interactive drag support. SVG renders the graph, and node colors and sizes are uniform, while the underlying data comes from a JSON file containing nodes and link relationships.

80% match

ice8-1

This interactive tree diagram visualizes a hierarchy of soccer positions, clubs, and players using D3.js. The layout places positions like Forward, Midfielder, and Defender at the top, branching into specific teams and notable athletes, with dotted skyblue links connecting nodes. The visualization uses the d3.layout.tree algorithm to compute node positions, while SVG circles and text labels render each entity. Animated transitions, driven by the update function, reposition nodes smoothly when the hierarchy expands or collapses, with margins and fixed-depth spacing ensuring clear readability.

Rranjithkmr598@gmail.com

D3 Matrix Example

This force-directed graph visualizes a social network of international rugby teams, with nodes representing countries and links depicting match results. Relationship strength is encoded through both link distance—shorter paths indicate stronger ties—and link opacity, which is binned into four discrete levels based on the link value. Arrow markers on the directed links show the direction of each relationship, while node size reflects centrality. The layout uses a force-directed simulation with negative charge to push nodes apart, and links are drawn as curved arcs via SVG path transformations, creating a clear, animated view of the network's structure.

Gist 10ad2f6c126f2280c720ff15922f5a5a

This visualization is a force-directed network diagram of a fantasy football team, mapping player connections through shared club or selection data. It shows each player as a node with a label, while weighted links between them are computed and rendered in real time. The code uses `d3.forceSimulation` with `forceLink`, `forceManyBody`, and `forceCenter` to arrange nodes, and `d3.geoPath` is not used—instead, links are drawn as SVG lines and nodes as circles. Player weights from the CSV file (e.g., 14.6 for Lacazette) are encoded via node radius, and the visualization updates smoothly with `transition.attrTween` on position changes. Data comes directly from the embedded `player_weights.csv` array, parsed into JavaScript objects for the simulation.

D3 Matrix Example

This visualization uses D3.js v3 and a force-directed layout to display the relationships between rugby teams, with nodes representing teams and curved, arrowed paths representing match scores between them. Link opacity and stroke width encode the value of each connection, scaled linearly from 0 to 100 percent. The code uses `d3.layout.force`, `d3.scale.linear`, and SVG markers for arrowheads, loading data from a JSON file, and renders the network on an SVG canvas.

Gist 08396e82bf7fe86a88d9a131f1a2654d

This visualization shows a force-directed network of football (soccer) players, with each node representing a player and edges likely indicating team or shared-match connections. The code uses `d3.forceSimulation` to calculate node positions and applies a custom weighting scheme to influence node size or opacity, though the rendering itself is not shown in the snippet. The weighting logic, defined in `out_weights.py`, modifies each player’s outgoing influence by subtracting fixture difficulty and form (scaled by 10), adding a small penalty for low play chance, and reducing weight for goalkeepers (element type 1). The data source is a pandas DataFrame of player statistics, and the visualization is part of an interactive dashboard built with JavaScript.