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
온라인 커뮤니티는 다양한 사회 활동을 위한 중요한 플랫폼임에도 불구하고 많은 온라인 커뮤니티가 생존하지 못하고 있으며, 이는 연구자들이 온라인 커뮤니티의 성장과 생존에 영향을 미치는 요인을 조사하도록 동기를 부여합니다. 우리는 다양한 소셜 네트워크 기능이 Reddit 커뮤니티의 성장과 생존에 미치는 영향을 종합적으로 조사합니다. 우리는 파벌 비율, 밀도, 클러스터링 계수, 상호성 및 중앙 집중화를 포함한 여러 소셜 네트워크 기능이 커뮤니티의 생존에 중요한 영향을 미친다는 것을 보여줍니다. 대조적으로, 본 논문에서 검토한 소셜 네트워크 기능은 커뮤니티 성장에 약한 영향을 미친다는 것도 보여줍니다. 또한, 소셜 네트워크 기능과 커뮤니티 내 콘텐츠 및 활동 특성을 활용하여 온라인 커뮤니티의 미래 성장과 생존을 예측하는 실험을 진행하였다. 그 결과, 소셜 네트워크 기능은 물론 콘텐츠, 활동 기능을 활용한 예측 모델이 약 30% 더 높은 F를 달성하는 것으로 나타났습니다.1 콘텐츠와 활동 특성만을 활용한 모델보다 예측 정확도를 평가하는 측정값이 더 많습니다. 반면, 소셜 네트워크 기능은 커뮤니티 성장을 예측하는 데 효과적이지 않은 것으로 나타났습니다.
Sho TSUGAWA
University of Tsukuba
Sumaru NIIDA
KDDI Research Inc.
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.
부
Sho TSUGAWA, Sumaru NIIDA, "Analyzing the Effects of Social Network Structure on the Growth and Survival of Online Communities in Reddit" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 7, pp. 760-769, July 2021, doi: 10.1587/transcom.2020CQP0006.
Abstract: While online communities are important platforms for various social activities, many online communities fail to survive, which motivates researchers to investigate factors affecting the growth and survival of online communities. We comprehensively examine the effects of a wide variety of social network features on the growth and survival of communities in Reddit. We show that several social network features, including clique ratio, density, clustering coefficient, reciprocity and centralization, have significant effects on the survival of communities. In contrast, we also show that social network features examined in this paper only have weak effects on the growth of communities. Moreover, we conducted experiments predicting future growth and survival of online communities utilizing social network features as well as contents and activity features in the communities. The results show that prediction models utilizing social network features as well as contents and activity features achieve approximately 30% higher F1 measure, which evaluates the prediction accuracy, than the models only using contents and activity features. In contrast, it is also shown that social network features are not effective for predicting the growth of communities.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020CQP0006/_p
부
@ARTICLE{e104-b_7_760,
author={Sho TSUGAWA, Sumaru NIIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Analyzing the Effects of Social Network Structure on the Growth and Survival of Online Communities in Reddit},
year={2021},
volume={E104-B},
number={7},
pages={760-769},
abstract={While online communities are important platforms for various social activities, many online communities fail to survive, which motivates researchers to investigate factors affecting the growth and survival of online communities. We comprehensively examine the effects of a wide variety of social network features on the growth and survival of communities in Reddit. We show that several social network features, including clique ratio, density, clustering coefficient, reciprocity and centralization, have significant effects on the survival of communities. In contrast, we also show that social network features examined in this paper only have weak effects on the growth of communities. Moreover, we conducted experiments predicting future growth and survival of online communities utilizing social network features as well as contents and activity features in the communities. The results show that prediction models utilizing social network features as well as contents and activity features achieve approximately 30% higher F1 measure, which evaluates the prediction accuracy, than the models only using contents and activity features. In contrast, it is also shown that social network features are not effective for predicting the growth of communities.},
keywords={},
doi={10.1587/transcom.2020CQP0006},
ISSN={1745-1345},
month={July},}
부
TY - JOUR
TI - Analyzing the Effects of Social Network Structure on the Growth and Survival of Online Communities in Reddit
T2 - IEICE TRANSACTIONS on Communications
SP - 760
EP - 769
AU - Sho TSUGAWA
AU - Sumaru NIIDA
PY - 2021
DO - 10.1587/transcom.2020CQP0006
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2021
AB - While online communities are important platforms for various social activities, many online communities fail to survive, which motivates researchers to investigate factors affecting the growth and survival of online communities. We comprehensively examine the effects of a wide variety of social network features on the growth and survival of communities in Reddit. We show that several social network features, including clique ratio, density, clustering coefficient, reciprocity and centralization, have significant effects on the survival of communities. In contrast, we also show that social network features examined in this paper only have weak effects on the growth of communities. Moreover, we conducted experiments predicting future growth and survival of online communities utilizing social network features as well as contents and activity features in the communities. The results show that prediction models utilizing social network features as well as contents and activity features achieve approximately 30% higher F1 measure, which evaluates the prediction accuracy, than the models only using contents and activity features. In contrast, it is also shown that social network features are not effective for predicting the growth of communities.
ER -