Related Experiment Video
Updated: Aug 23, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
The effect of self-organizing map architecture based on the value migration network centrality measures on stock
1Institute of Management, Lodz University of Technology, Lodz, Poland.
Abstract:
Complex financial systems are the subject of current research interest. The notion of complex network is used for understanding the value migration process. Based on the stock data of 498 companies listed in the S&P500, the value migration network has been constructed using the MST-Pathfinder filtering network approach. The analysis covered 471 companies included in the largest component of VMN. Three methods: (i) complex networks; (ii) artificial neural networks and (iii) MARS regression, are developed to determine the effect of network centrality measures and rate of return on shares. A network-based data mining analysis has revealed that the topological position in the value migration network has a pronounced impact on the stock's returns.
More Related Videos
08:59Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
Published on: October 28, 2018
07:12Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
Published on: July 1, 2014
Related Concept Videos
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Levels of Use of a GIS
Chemotaxis and Direction of Cell Migration
Social Exchange Theory
Cytoskeletal Coordination in Cell Migration
MAPK Signaling Cascades