Title :
On Dynamics of Student Networks
Author :
Xu, Ye ; Wang, Zhuo
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
An instance of complex networks, student networks (SN), is mainly studied in this paper. Dynamic properties of SN were firstly studied and an improved Logistic Model was put foreword and was optimized by float-point GA. Then, fractal methods were applied to the study of dynamic growth of SN, and fractal algorithm were introduced and applied. A conclusion that the growth of SN has some features of fractal was finally gained and a long-term model for the growth was brought forward.
Keywords :
complex networks; education; genetic algorithms; logistics; SN dynamic property; complex network; float-point GA; fractal algorithm; genetic algorithm; long-term model; optimization; student network; Complex networks; Educational institutions; Equations; Fractals; Logistics; Neodymium; Niobium; Tin; Voting; World Wide Web; Student Networks; complex networks;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.12
