IEICE TRANSACTIONS on Information
Structures of Human Relations and User-Dynamics Revealed by Traffic Data
Summary :
The number of customers of a service for Internet access from cellular phones in Japan has been explosively increasing for some time. We analyze the relation between the number of customers and the volume of traffic, with a view to finding clues to the structure of human relations among the very large set of potential customers of the service. The traffic data reveals that this structure is a scale-free network, and we calculate the exponent that governs the distribution of node degree in this network. The data also indicates that people who have many friends tend to subscribe to the service at an earlier stage. These results are useful for investigating various fields, including marketing strategies, the propagation of rumors, the spread of computer viruses, and so on.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.6 pp.1454-1460
- Publication Date
- 2004/06/01
- Publicized
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- Type of Manuscript
- Special Section PAPER (Special Section on Human Communication I)
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Masaki AIDA, Keisuke ISHIBASHI, Hiroyoshi MIWA, Chisa TAKANO, Shin-ichi KURIBAYASHI, "Structures of Human Relations and User-Dynamics Revealed by Traffic Data" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 6, pp. 1454-1460, June 2004, doi: .
Abstract: The number of customers of a service for Internet access from cellular phones in Japan has been explosively increasing for some time. We analyze the relation between the number of customers and the volume of traffic, with a view to finding clues to the structure of human relations among the very large set of potential customers of the service. The traffic data reveals that this structure is a scale-free network, and we calculate the exponent that governs the distribution of node degree in this network. The data also indicates that people who have many friends tend to subscribe to the service at an earlier stage. These results are useful for investigating various fields, including marketing strategies, the propagation of rumors, the spread of computer viruses, and so on.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_6_1454/_p
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@ARTICLE{e87-d_6_1454,
author={Masaki AIDA, Keisuke ISHIBASHI, Hiroyoshi MIWA, Chisa TAKANO, Shin-ichi KURIBAYASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Structures of Human Relations and User-Dynamics Revealed by Traffic Data},
year={2004},
volume={E87-D},
number={6},
pages={1454-1460},
abstract={The number of customers of a service for Internet access from cellular phones in Japan has been explosively increasing for some time. We analyze the relation between the number of customers and the volume of traffic, with a view to finding clues to the structure of human relations among the very large set of potential customers of the service. The traffic data reveals that this structure is a scale-free network, and we calculate the exponent that governs the distribution of node degree in this network. The data also indicates that people who have many friends tend to subscribe to the service at an earlier stage. These results are useful for investigating various fields, including marketing strategies, the propagation of rumors, the spread of computer viruses, and so on.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - Structures of Human Relations and User-Dynamics Revealed by Traffic Data
T2 - IEICE TRANSACTIONS on Information
SP - 1454
EP - 1460
AU - Masaki AIDA
AU - Keisuke ISHIBASHI
AU - Hiroyoshi MIWA
AU - Chisa TAKANO
AU - Shin-ichi KURIBAYASHI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2004
AB - The number of customers of a service for Internet access from cellular phones in Japan has been explosively increasing for some time. We analyze the relation between the number of customers and the volume of traffic, with a view to finding clues to the structure of human relations among the very large set of potential customers of the service. The traffic data reveals that this structure is a scale-free network, and we calculate the exponent that governs the distribution of node degree in this network. The data also indicates that people who have many friends tend to subscribe to the service at an earlier stage. These results are useful for investigating various fields, including marketing strategies, the propagation of rumors, the spread of computer viruses, and so on.
ER -
English
