Network Science¶
Barabási, A. (2016). Network Science. Cambridge University Press.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Network
- The deeper abstraction, which Barabási (2016) develops as the integrating thesis of network science, is that network thinking is the structural discipline of treating relational pattern as data: in any system where relations carry explanatory weight, the discipline consists of defining the graph precisely (T4: edge definition), measuring its structural properties, and letting those properties predict the system's behavior where possible while remaining alert to the structure/content gap where not (T1).
This sourceField-defining synthesis tracing the maturation of network science from Euler through Erdős-Rényi, Watts-Strogatz, Barabási-Albert, and Newman; develops network thinking as the structural discipline of treating relational pattern as data across substrates.
- The deeper abstraction, which Barabási (2016) develops as the integrating thesis of network science, is that network thinking is the structural discipline of treating relational pattern as data: in any system where relations carry explanatory weight, the discipline consists of defining the graph precisely (T4: edge definition), measuring its structural properties, and letting those properties predict the system's behavior where possible while remaining alert to the structure/content gap where not (T1).
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