引用不是引用：在Twitter上解开关联和互动
Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
摘要：
交互网络通常比从属网络更不具有同质性，可以容纳更多的交叉链接。通过统计分配的政治效价用户从他们的网络层面的从属关系模式，并通过进一步对比互动和从属关系（报价和转推）在特定的话语事件，即报价树，我们描述了各种各样的交叉模式，显着细微差别的传统的“回音室”的叙述。
英文摘要：
Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence to users from their network-level affiliation patterns, and by further contrasting interaction and affiliation (quotes and retweets) within specific discursive events, namely quote trees, we describe a variety of cross-cutting patterns which significantly nuance the traditional "echo chamber" narrative.
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。
