human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment"):
  Abstract: Twitter is a microblogging website where users read and write millions of short messages on a variety of topics every day. This study uses the context of the German federal election to investigate whether Twitter is used as a forum for political deliberation and whether online messages on Twitter validly mirror offline political sentiment. Using LIWC text analysis software, we conducted a content-analysis of over 100,000 messages containing a reference to either a political party or a politician. Our results show that Twitter is indeed used extensively for political deliberation. We find that the mere number of messages mentioning a party reflects the election result. Moreover, joint mentions of two parties are in line with real world political ties and coalitions. An analysis of the tweets’ political sentiment demonstrates close correspondence to the parties' and politicians’ political positions indicating that the content of Twitter messages plausibly reflects the offline political landscape. We discuss the use of microblogging message content as a valid indicator of political sentiment and derive suggestions for further research.

Includes members:
  Member "Twitter power: Tweets as electronic word of mouth":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Truthy: mapping the spread of astroturf in microblog streams")
  Member "Microblog language identification: overcoming the limitations of short, unedited and idiomatic text":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Microblog-genre noise and impact on semantic annotation accuracy")
  Member "Truthy: mapping the spread of astroturf in microblog streams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Hunting for troll comments in news community forums")
  Member "I can't get no sleep: discussing #insomnia on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "I Didn't Sign Up for This!: Informed Consent in Social Network Research")
  Member "Opinion Mining and Information Fusion":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "Opinion Mining and Sentiment Analysis")
  Member "NBA All-Star Prediction Using Twitter Sentiment Analysis":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science