Karate Network Analysis: Community Visualization
Network graphs are powerful visualizations of relationships within datasets. Nodes represent entities, and edges show connections between them. Applications range from social networks and infrastructure mapping to biological systems and cybersecurity analysis. Understanding network graph properties like centrality and clustering reveals valuable insights. Analyzing network graphs helps identify key players, vulnerabilities, and community structures. Tools and algorithms exist for creating, visualizing, and analyzing these graphs, providing crucial data-driven insights across many fields. From identifying influential figures to optimizing infrastructure, network graphs offer a versatile approach to complex data representation.
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<head>
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// Create the data for the graph
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}
// Create the configuration for the graph
var config = {
"coordinateNetworkConvexHullCommunityColor" : true,
"graphType" : "Network",
"showNetworkCommunities" : true,
"title" : "Zachary's famous Karate Club"
}
// Event used to create graph (optional)
var events = false
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config, events);
</script>
</body>
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library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-networkkarate-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-networkkarate-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
coordinateNetworkConvexHullCommunityColor=TRUE,
graphType="Network",
showNetworkCommunities=TRUE,
title="Zachary's famous Karate Club"
)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser
if __name__ == "__main__":
# Define the chart with its data and configuration
chart: CanvasXpress = CanvasXpress(
render_to = "network16",
data = {
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},
config = {
"coordinateNetworkConvexHullCommunityColor": True,
"graphType": "Network",
"showNetworkCommunities": True,
"title": "Zachary's famous Karate Club"
},
width = 600,
height = 600
)
# Display the chart in its own Web page
show_in_browser(chart)
Run this notebook:
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph
graph(
CanvasXpress(
render_to = "network16",
data = {
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