Finding broad-scale patterns in large size electronic circuit netlists

Integrated circuit structure has advanced to extremely large complexity, such as 10⁸ or more components per chip. Design and circuit optimization becomes quite difficult for these IC sizes. This paper presents a methodology that helps to understand the circuit topologies before the physical realization of the system. This paper explains that large size electronic circuit netlists have broad-scale patterns and large clustering coefficients. These attributes are very different from random graphs, usually assumed for representing circuit netlists. Furthermore, the paper introduces a model to explain the large clustering coefficient of electronic circuit netlists