The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 인간의 행동에 기반한 정보분배 모델을 제안한다. 또한 실제 소셜 네트워크에 모델을 보다 실용적으로 만들기 위해 동적 매개변수를 제안합니다. 이후, Small World 네트워크와 그 특성을 기반으로 시뮬레이션을 수행하고 모델의 매개변수를 분석하여 정보 배포의 힘을 효율적으로 증가시킵니다. 우리의 연구와 시뮬레이션 결과는 제안된 모델이 정보 유통의 효율성을 분석하고 예측하는 데 사용될 수 있음을 보여줍니다. 또한, 이 연구는 모델 매개변수를 사용하여 분포의 검정력을 높이는 방법도 보여줍니다.
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부
Pao SRIPRASERTSUK, Wataru KAMEYAMA, "Information Distribution Analysis Based on Human's Behavior State Model and the Small-World Network" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 4, pp. 608-619, April 2009, doi: 10.1587/transinf.E92.D.608.
Abstract: In this paper, an information distribution model based on human's behavior is proposed. We also propose dynamic parameters to make the model more practical for real life social network. Subsequently, the simulations are conducted based on the small-world network and its characteristics, and the parameters in the model are analyzed to increase efficiently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the effectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.608/_p
부
@ARTICLE{e92-d_4_608,
author={Pao SRIPRASERTSUK, Wataru KAMEYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Information Distribution Analysis Based on Human's Behavior State Model and the Small-World Network},
year={2009},
volume={E92-D},
number={4},
pages={608-619},
abstract={In this paper, an information distribution model based on human's behavior is proposed. We also propose dynamic parameters to make the model more practical for real life social network. Subsequently, the simulations are conducted based on the small-world network and its characteristics, and the parameters in the model are analyzed to increase efficiently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the effectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.},
keywords={},
doi={10.1587/transinf.E92.D.608},
ISSN={1745-1361},
month={April},}
부
TY - JOUR
TI - Information Distribution Analysis Based on Human's Behavior State Model and the Small-World Network
T2 - IEICE TRANSACTIONS on Information
SP - 608
EP - 619
AU - Pao SRIPRASERTSUK
AU - Wataru KAMEYAMA
PY - 2009
DO - 10.1587/transinf.E92.D.608
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2009
AB - In this paper, an information distribution model based on human's behavior is proposed. We also propose dynamic parameters to make the model more practical for real life social network. Subsequently, the simulations are conducted based on the small-world network and its characteristics, and the parameters in the model are analyzed to increase efficiently the power of information distribution. Our study and simulation results show that the proposed model can be used to analyze and predict the effectiveness of information distribution. Moreover, the study also shows how to use the model parameters to increase power of the distribution.
ER -