识别在线群体间的竞争与共生关系
Identifying Competition and Mutualism Between Online Groups
AI总结：
针对以往在线群体关系研究结论不一致的问题，本研究借鉴群落生态学框架提出时间序列推断方法，对高用户重叠的Reddit子版块集群分析后发现共生关系比竞争更普遍。
摘要：
平台通常承载着多个主题与成员存在重叠的在线群体。研究人员和设计者该如何理解相关群体对彼此的影响？受种群生态学启发，以往社会计算与人机交互领域的研究通过将群体规模与内容、成员的重叠程度相关联来研究相关群体，但得出了令人困惑的结果：在某些情境下重叠与竞争相关，而在另一些情境下则与共生相关。我们认为这种不一致性源于将群体间关系聚合为整体环境效应，从而掩盖了相关群体间竞争与共生的多样性。借鉴群落生态学框架，我们提出了一种推断竞争与共生关系的时间序列方法。随后我们利用该框架对用户重叠度均较高的subreddit（ Reddit子版块）集群开展了大规模分析，发现共生关系比竞争关系更为普遍。
英文摘要：
Platforms often host multiple online groups with overlapping topics and members. How can researchers and designers understand how related groups affect each other? Inspired by population ecology, prior research in social computing and human-computer interaction has studied related groups by correlating group size with degrees of overlap in content and membership, but has produced puzzling results: overlap is associated with competition in some contexts but with mutualism in others. We suggest that this inconsistency results from aggregating intergroup relationships into an overall environmental effect that obscures the diversity of competition and mutualism among related groups. Drawing on the framework of community ecology, we introduce a time-series method for inferring competition and mutualism. We then use this framework to inform a large-scale analysis of clusters of subreddits that all have high user overlap. We find that mutualism is more common than competition.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
