human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Analyzing spammers' social networks for fun and profit: a case study of cyber criminal ecosystem on twitter"
  Abstract: In this paper, we perform an empirical analysis of the cyber criminal ecosystem on Twitter. Essentially, through analyzing inner social relationships in the criminal account community, we find that criminal accounts tend to be socially connected, forming a small-world network. We also find that criminal hubs, sitting in the center of the social graph, are more inclined to follow criminal accounts. Through analyzing outer social relationships between criminal accounts and their social friends outside the criminal account community, we reveal three categories of accounts that have close friendships with criminal accounts. Through these analyses, we provide a novel and effective criminal account inference algorithm by exploiting criminal accounts' social relationships and semantic coordinations.

Connected through hyperedge HE-1 (induced by source paper "Truthy: mapping the spread of astroturf in microblog streams"):
  with members:
    - "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment"
    - "Twitter power: Tweets as electronic word of mouth"
    - "Hunting for troll comments in news community forums"

Connected through hyperedge HE-2 (induced by source paper "Detecting Spamming Groups in Social Media Based on Latent Graph"):
  with members:
    (none)

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science