Analyzing, Modeling, and Simulation for Human Dynamics in Social Network
This paper studies the human behavior in the top-one social network system in China (Sina Microblog system). By analyzing real-life data at a large scale, we find that the message releasing interval (intermessage time) obeys power law distribution both at individual level and at group level. Statist...
Saved in:
Main Authors: | Yunpeng Xiao, Bai Wang, Yanbing Liu, Zhixian Yan, Xian Chen, Bin Wu, Guangxia Xu, Yuanni Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2012/208791 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Hybrid Human Dynamics Model on Analyzing Hotspots in Social Networks
by: Yunpeng Xiao, et al.
Published: (2012-01-01) -
Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network
by: Wenhao Jiang, et al.
Published: (2022-01-01) -
Dynamic and efficient vehicular cloud management scheme with privacy protection
by: Min XIAO, et al.
Published: (2022-12-01) -
Measuring and analyzing node families in the Tor anonymous communication network
by: Xiao WANG, et al.
Published: (2015-02-01) -
DEMATEL Method for Contradiction Network Analyzing
by: Liu Shang, et al.
Published: (2017-01-01)