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 "Twitter power: Tweets as electronic word of mouth"):
  Abstract: In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions. We investigated the overall structure of these microblog postings, the types of expressions, and the movement in positive or negative sentiment. We compared automated methods of classifying sentiment in these microblogs with manual coding. Using a case study approach, we analyzed the range, frequency, timing, and content of tweets in a corporate account. Our research findings show that 19p of microblogs contain mention of a brand. Of the branding microblogs, nearly 20p contained some expression of brand sentiments. Of these, more than 50p were positive and 33p were critical of the company or product. Our comparison of automated and manual coding showed no significant differences between the two approaches. In analyzing microblogs for structure and composition, the linguistic structure of tweets approximate the linguistic patterns of natural language expressions. We find that microblogging is an online tool for customer word of mouth communications and discuss the implications for corporations using microblogging as part of their overall marketing strategy. © 2009 Wiley Periodicals, Inc.

Includes members:
  Member "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment":
    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 "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment")
  Member "Opinion observer: analyzing and comparing opinions on the Web":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Opinion Mining and Sentiment Analysis")
  Member "Entity-based Classification of Twitter Messages":
    also connected through other hyperedges:
      (none)
  Member "Social Media Campaigns For New Product Introductions":
    also connected through other hyperedges:
      (none)
  Member "The Catalyzing Factors of Official Documents Exchange via Microblogging in Public Sectors: A Case Study based on the T-O-E Framework":
    also connected through other hyperedges:
      (none)
  Member "Analyzing Second Screen Based Social Soundtrack of TV Viewers from Diverse Cultural Settings":
    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