Temporal Cascade Model for Analyzing Spread in Evolving Networks

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Evolving Cascade-Correlation Networks for Time-Series Forecasting

This investigations applies evolutionary search to the cascade-correlation learning network. Evolutionary search is used to find both the input weights and input connectivity of candidate hidden units. A time-series prediction example is used to demonstrate the capabilities of the proposed approach.

Analyzing a stochastic model for evolving regulatory networks by unbiased gene duplication

Results: We extend current models of gene duplication and rewiring by including directions and the fact that molecular networks are not the result of unidirectional growth. We introduce upstream sites and downstream shapes to quantify potential links during duplication and rewiring. We find that this in itself generate the observed scaling of transcription factors with genome sites in procaryot...

How Complex Contagions Spread Quickly in the Preferential Attachment Model and Other Time-Evolving Networks

In this paper, we study the spreading speed of complex contagions in a social network. A k-complexcontagion starts from a set of initially infected seeds such that any node with at least k infected neighborsgets infected. Simple contagions, i.e., k = 1, quickly spread to the entire network in small world graphs.However, fast spreading of complex contagions appears to be less lik...

A Multi Objective Graph Based Model for Analyzing Survivability of Vulnerable Networks

In the various fields of disaster management, choosing the best location for the Emergency Support & Supply Service Centers (ESSSCs) and the survivability of the network that provides the links between ESSSCs and their environment has a great role to be paid enough attention. This paper introduces a graph based model to measure the survivability of the linking's network. By values computed for ...