We focus on the overall representation of network user behavior and observe that the number of destinations accessed by a network user is limited, which means users have certain preferential haunts in networks. And the distribution of users closely matches heavy tail distribution instead of Possion Distribution.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Ping WANG, Binxing FANG, Xiaochun YUN, Jun ZHENG, "A User-Habit Property: Haunting of Users in IP Networks" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 1, pp. 371-373, January 2007, doi: .
Abstract: We focus on the overall representation of network user behavior and observe that the number of destinations accessed by a network user is limited, which means users have certain preferential haunts in networks. And the distribution of users closely matches heavy tail distribution instead of Possion Distribution.
URL: https://global.ieice.org/en_transactions/information/10.1587/e90-d_1_371/_p
Copy
@ARTICLE{e90-d_1_371,
author={Ping WANG, Binxing FANG, Xiaochun YUN, Jun ZHENG, },
journal={IEICE TRANSACTIONS on Information},
title={A User-Habit Property: Haunting of Users in IP Networks},
year={2007},
volume={E90-D},
number={1},
pages={371-373},
abstract={We focus on the overall representation of network user behavior and observe that the number of destinations accessed by a network user is limited, which means users have certain preferential haunts in networks. And the distribution of users closely matches heavy tail distribution instead of Possion Distribution.},
keywords={},
doi={},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - A User-Habit Property: Haunting of Users in IP Networks
T2 - IEICE TRANSACTIONS on Information
SP - 371
EP - 373
AU - Ping WANG
AU - Binxing FANG
AU - Xiaochun YUN
AU - Jun ZHENG
PY - 2007
DO -
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2007
AB - We focus on the overall representation of network user behavior and observe that the number of destinations accessed by a network user is limited, which means users have certain preferential haunts in networks. And the distribution of users closely matches heavy tail distribution instead of Possion Distribution.
ER -