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
조회수
107
온라인 소셜 네트워크(OSN)가 눈에 띄게 활성화됨에 따라 우리는 현실 세계에 큰 영향을 미칠 수 있는 온라인 플레이밍(Online Flaming)과 같은 폭발적인 사용자 역학을 경험하는 경우가 많습니다. 온라인 사용자 역학이 전파되는 속도가 빠르기 때문에 온라인 불화를 일으키는 개인에 대한 사회적 분석을 기반으로 한 대응은 너무 많은 시간이 소요되어 적시에 조치를 취할 수 없습니다. 개인의 사회적 분석 없이 즉각적인 해결책을 고려하기 위해 온라인 사용자 역학을 설명하는 진동 모델 기반 화염 현상에 대한 대응 기술이 제안되었습니다. 이 프레임워크에서는 온라인 화염을 방지하기 위한 감쇠 강도가 네트워크의 파동 방정식을 기반으로 도출되었습니다. 그러나 가정된 감쇠 강도는 사용자 역학의 주파수와 무관하게 일정해야 했습니다. 감쇠 강도는 일반적으로 주파수에 따라 달라질 수 있으므로 사용자 역학에서 이러한 주파수 의존성을 고려할 필요가 있습니다. 본 논문에서는 감쇠강도가 사용자 역학의 주파수에 따라 달라진다는 일반적인 조건에서 온라인 화염을 방지하는 데 필요한 감쇠강도를 도출합니다. 또한, 실제 OSN 데이터로부터 가정된 OSN 구조를 나타내는 라플라시안 행렬의 고유값의 존재 범위를 조사하고 이를 온라인 화염 대응 기술에 적용한다.
Shinichi KIKUCHI
Tokyo Metropolitan University
Chisa TAKANO
Hiroshima City University
Masaki AIDA
Tokyo Metropolitan University
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부
Shinichi KIKUCHI, Chisa TAKANO, Masaki AIDA, "On the Strength of Damping Effect in Online User Dynamics for Preventing Flaming Phenomena" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 2, pp. 240-249, February 2022, doi: 10.1587/transcom.2021CEP0007.
Abstract: As online social networks (OSNs) have become remarkably active, we often experience explosive user dynamics such as online flaming, which can significantly impact the real world. Since the rapidity with which online user dynamics propagates, countermeasures based on social analyses of the individuals who cause online flaming take too much time that timely measures cannot be taken. To consider immediate solutions without individuals' social analyses, a countermeasure technology for flaming phenomena based on the oscillation model, which describes online user dynamics, has been proposed. In this framework, the strength of damping to prevent online flaming was derived based on the wave equation of networks. However, the assumed damping strength was to be a constant independent of the frequency of user dynamics. Since damping strength may generally depend on frequency, it is necessary to consider such frequency dependence in user dynamics. In this paper, we derive the strength of damping required to prevent online flaming under the general condition that damping strength depends on the frequency of user dynamics. We also investigate the existence range of the Laplacian matrix's eigenvalues representing the OSN structure assumed from the real data of OSNs, and apply it to the countermeasure technology for online flaming.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021CEP0007/_p
부
@ARTICLE{e105-b_2_240,
author={Shinichi KIKUCHI, Chisa TAKANO, Masaki AIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={On the Strength of Damping Effect in Online User Dynamics for Preventing Flaming Phenomena},
year={2022},
volume={E105-B},
number={2},
pages={240-249},
abstract={As online social networks (OSNs) have become remarkably active, we often experience explosive user dynamics such as online flaming, which can significantly impact the real world. Since the rapidity with which online user dynamics propagates, countermeasures based on social analyses of the individuals who cause online flaming take too much time that timely measures cannot be taken. To consider immediate solutions without individuals' social analyses, a countermeasure technology for flaming phenomena based on the oscillation model, which describes online user dynamics, has been proposed. In this framework, the strength of damping to prevent online flaming was derived based on the wave equation of networks. However, the assumed damping strength was to be a constant independent of the frequency of user dynamics. Since damping strength may generally depend on frequency, it is necessary to consider such frequency dependence in user dynamics. In this paper, we derive the strength of damping required to prevent online flaming under the general condition that damping strength depends on the frequency of user dynamics. We also investigate the existence range of the Laplacian matrix's eigenvalues representing the OSN structure assumed from the real data of OSNs, and apply it to the countermeasure technology for online flaming.},
keywords={},
doi={10.1587/transcom.2021CEP0007},
ISSN={1745-1345},
month={February},}
부
TY - JOUR
TI - On the Strength of Damping Effect in Online User Dynamics for Preventing Flaming Phenomena
T2 - IEICE TRANSACTIONS on Communications
SP - 240
EP - 249
AU - Shinichi KIKUCHI
AU - Chisa TAKANO
AU - Masaki AIDA
PY - 2022
DO - 10.1587/transcom.2021CEP0007
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2022
AB - As online social networks (OSNs) have become remarkably active, we often experience explosive user dynamics such as online flaming, which can significantly impact the real world. Since the rapidity with which online user dynamics propagates, countermeasures based on social analyses of the individuals who cause online flaming take too much time that timely measures cannot be taken. To consider immediate solutions without individuals' social analyses, a countermeasure technology for flaming phenomena based on the oscillation model, which describes online user dynamics, has been proposed. In this framework, the strength of damping to prevent online flaming was derived based on the wave equation of networks. However, the assumed damping strength was to be a constant independent of the frequency of user dynamics. Since damping strength may generally depend on frequency, it is necessary to consider such frequency dependence in user dynamics. In this paper, we derive the strength of damping required to prevent online flaming under the general condition that damping strength depends on the frequency of user dynamics. We also investigate the existence range of the Laplacian matrix's eigenvalues representing the OSN structure assumed from the real data of OSNs, and apply it to the countermeasure technology for online flaming.
ER -