Is this good for educators?

Yes — this version of "Network Centrality for a circuit netlist" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.

Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Educators · Network Centrality

Network Centrality for a circuit netlist

Built for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs. Simulate a circuit netlist live below — adjust the inputs and watch it respond, right in your browser.

Network CentralityLive

who matters most

Controls

Centrality measures which nodes are most important in a network. Degree counts direct connections; betweenness counts how often a node lies on shortest paths (a bridge or broker); closeness measures how near a node is to all others. Switching metrics changes who matters — a key insight for social networks, infrastructure, and epidemiology.

▶ Run in Python

Data Inspector

Metricbetweenness

Most centralD

Nodes7

Governing equation

C_{B} (x) = s \neq = t \neq = x \sum \frac{σ _{s t} ( x )}{σ _{s t}}

Reading this result: By betweenness, node D is the key broker: it sits on the most shortest paths, so removing it would fracture the network even if it has few direct links.

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Frequently asked questions

Is this good for educators?: Yes — this version of "Network Centrality for a circuit netlist" is framed for educators teaching it to a class. Drop a live demo into a lecture or assign it as a shareable link — no lab installs.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.