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The Watts–Strogatz model is a random graph generation model that produces graphs with small-world properties, including short average path lengths and high clustering. It was proposed by Duncan J. Watts and Steven Strogatz in their article published in 1998 in the Nature scientific journal. [ 1 ]
Strogatz's writing for the general public includes four books and frequent newspaper articles. His book Sync [23] was chosen as a Best Book of 2003 by Discover Magazine. [24] His 2009 book The Calculus of Friendship [25] was called "a genuine tearjerker" [26] and "part biography, part autobiography and part off-the-beaten-path guide to calculus."
Watts and Strogatz then proposed a novel graph model, currently named the Watts and Strogatz model, with (i) a small average shortest path length, and (ii) a large clustering coefficient. The crossover in the Watts–Strogatz model between a "large world" (such as a lattice) and a small world was first described by Barthelemy and Amaral in 1999 ...
The existence of ripple solutions was predicted (but not observed) by Wiley, Strogatz and Girvan, [20] who called them multi-twisted q-states. The topology on which the Kuramoto model is studied can be made adaptive [21] by use of fitness model showing enhancement of synchronization and percolation in a self-organised way.
Download as PDF; Printable version; In other projects ... the various solutions, for the same system with different K ... (Kuramoto's first paper and his book). Ref ...
In 1736, Leonhard Euler created graph theory. [6] Graph theory paved the way for network models such as Barabási-Albert's scale-free networks, chance networks such as Paul Erdös and Alfréd Rényi, Erdős–Rényi model, which applies to random graph theory, and Watts & Strogatz Small-world network, all of which can be adapted to be representative of strategies and or relationships in the ...
A model of a biological system is converted into a system of equations, although the word 'model' is often used synonymously with the system of corresponding equations. The solution of the equations, by either analytical or numerical means, describes how the biological system behaves either over time or at equilibrium. There are many different ...
Dynamical systems theory and chaos theory deal with the long-term qualitative behavior of dynamical systems.Here, the focus is not on finding precise solutions to the equations defining the dynamical system (which is often hopeless), but rather to answer questions like "Will the system settle down to a steady state in the long term, and if so, what are the possible steady states?", or "Does ...