Title :
The student´s contact model based on complex network
Author :
Guofeng, Li ; Ying, Tan ; Xiaomei, Yang
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Through analyzing the characteristics of human daily behavior based on contact data of students in the real world, and combining the complex network theory, a student social contact networks model was proposed. The basic statistical distribution results show that the model has the property of small world network. The analysis of human contact process is helpful to identify the human behavior law.
Keywords :
behavioural sciences; complex networks; education; network theory (graphs); statistical distributions; complex network theory; human daily behavior; statistical distribution; student contact data; student social contact network model; Analytical models; Complex networks; Computational modeling; Data models; Diseases; Educational institutions; Humans; Small-world network; complex network; contact model;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067921
