Index of papers in April 2015 that mention
• null model
Kai Olav Ellefsen, Jean-Baptiste Mouret, Jeff Clune
 Modularity Calculations That modularity optimization method relies on the maximization of a benefit function Q, which measures the difference between the number of connections within each module and the expected fraction of such connections given a “null model” , that is, a statistical model of random networks. Modularity Calculations For undirected networks, the null model traditionally corresponds to random networks constrained to have the same degree sequence as the network whose modularity is measured. Modularity Calculations Our results are qualitatively unchanged when using layered, feed-forward networks as “null model” to compute and optimize Q (Supp. Supporting Information Two different null models for calculating the modularity score. Supporting Information The conventional way to calculate modularity is inherently relative: one computes the modularity of network N by searching for the modular decomposition (assigning N’s nodes to different modules) that maximizes the number of edges within the modules compared to the number of expected edges given by a statistical model of random, but similar, networks called the “null model” . Supporting Information Here, we calculated the modularity Q-score with two different null models , one modeling random, directed networks and the other modeling random, layered, feed-forward networks.
null model is mentioned in 7 sentences in this paper.
Topics mentioned in this paper:
Lorenza A. D’Alessandro, Regina Samaga, Tim Maiwald, Seong-Hwan Rho, Sandra Bonefas, Andreas Raue, Nao Iwamoto, Alexandra Kienast, Katharina Waldow, Rene Meyer, Marcel Schilling, Jens Timmer, Steffen Klamt, Ursula Klingmüller
 Ordinary differential equation modeling The second common method is known as the Likelihood-Ratio-Test (LRT), Where one model is defined as the null model and another nested model is compared against the null model [73]. Ordinary differential equation modeling Here, the comparison is performed by where Adf denotes the difference in degrees of freedom of the null model and the nested model. Ordinary differential equation modeling Hereby, one tests if a nested model is a valid simplification of the null model .
null model is mentioned in 5 sentences in this paper.
Topics mentioned in this paper: