Exploring Cooperative Game Mechanisms of Scientific Coauthorship Networks

Algorithm 2

Boundary point detection algorithm for general functions.

Input: Data vector h₀(s), s = 1, … ,K, rescaling function g(·), and fitting model h(·).

For k from 1 to K do:

 Fit h(·) to h₀(s), s = 1, … ,k by regression;

 Do KS test for two data vectors g (h (s)) and g (h₀(s)), s = 1, … ,k with the null hypothesis they coming from the same continuous distribution;

 Break if the test rejects the null hypothesis at significance level 5%. Output: The current k as the boundary point.