Title :
Analysis of the determinism of time-series extracted from social and biological systems
Author :
Luigi, F. ; Mattia, Francesco ; Valentina, Gambuzza Lucia ; Angelo, Sarra Fiore ; Ali, Ramzy S. ; Rashid, M.T.
Author_Institution :
DIEES, Univ. of Catania, Catania, Italy
fDate :
Nov. 30 2010-Dec. 2 2010
Abstract :
Self-organizing systems arise in many different fields. In this work we analyze data from social and biological systems. A central question is to demonstrate the presence of the determinism in time-series extracted from such systems that appear apparently not correlated but that are two good benchmarks for the study of complexity in real systems. We will apply the Kaplan test and we will define an order parameter for the biological data to characterize the complexity of the system.
Keywords :
computational complexity; data analysis; deterministic algorithms; self-adjusting systems; time series; Kaplan test; biological data; biological system; self organizing system; social system; system complexity; time series; Correlation; Facebook; Light emitting diodes; Stochastic processes; Time series analysis; Trajectory; Yttrium;
Conference_Titel :
Energy, Power and Control (EPC-IQ), 2010 1st International Conference on
Conference_Location :
Basrah
Electronic_ISBN :
978-0-9568330-0-6
