Small-World and Scale-Free Network Analysis
Small-world and scale-free network analysis tests whether a real-world network exhibits two landmark topological signatures identified in 1998-1999: the Watts-Strogatz small-world property (high local clustering combined with short average path lengths) and the Barabási-Albert scale-free property (a degree distribution that follows a power law, meaning a small number of hubs connect to a disproportionately large share of other nodes). Together these frameworks transformed network science by showing that many social, biological, and technological networks share a common structural grammar.
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- Watts, D.J. & Strogatz, S.H. (1998). Collective Dynamics of 'Small-World' Networks. Nature, 393(6684), 440-442. · DOI 10.1038/30918
- Barabási, A.L. & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512. · DOI 10.1126/science.286.5439.509
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