论文标题
搜索，结构和情感：Twitter上不同查询类型中网络意见的比较分析
Search, Structure, and Sentiment: A Comparative Analysis of Network Opinion in Different Query Types on Twitter
论文作者
论文摘要
了解结构和情感之间的关系对于通过在线社交网络突出未来的运营至关重要。更具体地说，在Twitter上流行的对话中。本文提供了两个变量之间关系的发展：结构，定义为有向网络的组成和情感，这是对话的正/负含义的量化值。我们强调线程情感与网络的强度和连通性成反比。本文的第二部分突出了查询类型的差异，特别是上述行为在四种关键查询类型中的不同。本文重点介绍了具有不同行为的方向，基于事件的，基于事件的，地理和个人查询。使用跨广告分析，我们看到结构与情感之间的关系，尽管仍然成反比，但在查询类型之间有很大的不同。我们发现这种关系是单个查询中最清晰的关系，而基于事件的查询中最不流行。本文为我们对意见和网络的理解提供了社会学的进步，同时为未来对类似主题的研究提供了方法论进步。
Understanding the relationship between structure and sentiment is essential in highlighting future operations with online social networks. More specifically, within popular conversation on Twitter. This paper provides a development on the relationship between the two variables: structure, defined as the composition of a directed network, and sentiment, a quantified value of the positive/negative connotations of a conversation. We highlight thread sentiment to be inversely proportional to the strength and connectivity of a network. The second portion of this paper highlights differences in query types, specifically how the aforementioned behavior differs within four key query types. This paper focuses on topical, event-based, geographic, and individual queries as orientations which have differing behavior. Using cross-query analysis, we see that the relationship between structure and sentiment, though still inversely proportional, differs greatly across query types. We find this relationship to be the most clear within the individual queries and the least prevalent within the event-based queries. This paper provides a sociological progression in our understanding of opinion and networks, while providing a methodological advancement for future studies on similar subjects.
