  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.
