Interactive research companion
Cascade Simulation Results Explorer
Explore the verified results from a Monte Carlo study of how graph structure, centrality-targeted activation, and threshold conditions shape network cascades. Each view is organized around one research question and keeps the comparison bounded.
Runs locally in your browser. The first launch may take a moment; no account or server login is required.
Guided exploration
Five research questions
Select a page in the explorer, then adjust only the conditions relevant to that comparison.
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RQ1
Graph family
Compare high–low centrality differences across Erdős–Rényi, Barabási–Albert, and Watts–Strogatz graphs.
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RQ2
Density
Examine how sparse and denser graphs change final cascade extent and target separation.
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RQ3
Centrality metric
Compare results across degree, strength, closeness, and betweenness centrality.
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RQ4
Threshold regime
Trace how cascade behavior changes from more sensitive to more resilient thresholds.
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RQ5
Total failure
Review how often cascades reach every vertex and, when they do, how many update layers they require.
Open materials
Data and reproducibility files
The explorer displays archived summaries. The complete package contains the app, source outputs, tests, and verification records.
The archived 1,000-replication run was replayed under the recorded R and igraph versions, and its scientific outputs matched the originals. File hashes are available in SHA256SUMS.txt.