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The impact of group attributes on communication activity and shared language in online communities

机译:群体属性对在线社区中交流活动和共享语言的影响

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This study examines how group size, network density, participation equality and member turnover are related to communication activity and shared language in online communities. It examines the social interactions of sixteen randomly selected discussion groups (33,450 participants and 632,622 messages) covering topics in politics, health, hobbies, and science and technology over a 20-month period. It relies on social network analysis, computational linguistics and hierarchical linear modeling to uncover the extent to which group attributes impact message replies, conversational thread length and shared word choices. The results show that group size and network density are positively related to communication activity and shared language, while participation equality and member turnover are not significant predictors.
机译:这项研究探讨了小组规模,网络密度,参与平等性和成员流动性与在线社区中的交流活动和共享语言之间的关系。它研究了16个随机选择的讨论组(33,450名参与者和632,622条消息)在20个月内涉及政治,健康,爱好和科学技术的社交互动。它依靠社交网络分析,计算语言学和分层线性建模来揭示群体属性影响消息回复,会话线程长度和共享单词选择的程度。结果表明,群体规模和网络密度与交流活动和共享语言成正相关,而参与平等和成员流动率不是重要的预测指标。

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