human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "catching loosely synchronized behavior in face of camouflage"):
  Abstract: Fraud has severely detrimental impacts on the business of social networks and other online applications. A user can become a fake celebrity by purchasing "zombie followers" on Twitter. A merchant can boost his reputation through fake reviews on Amazon. This phenomenon also conspicuously exists on Facebook, Yelp and TripAdvisor, etc. In all the cases, fraudsters try to manipulate the platform's ranking mechanism by faking interactions between the fake accounts they control and the target customers.

Includes members:
  Member "fairjudge trustworthy user prediction in rating platforms":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the follower count fallacy detecting twitter users with manipulated follower count")
  Member "birdnest bayesian inference for ratings fraud detection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the future of misinformation detection new perspectives and trends")
  Member "towards detecting compromised accounts on social networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards understanding the information ecosystem through the lens of multiple web communities")
  Member "edgecentric anomaly detection in edge attributed networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fraud detection in networks state of the art")
  Member "spotting suspicious link behavior with fbox an adversarial perspective":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "semi supervised content based detection of misinformation via tensor embeddings")
  Member "sybilbelief a semi supervised learning approach for structure based sybil detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "defending against machine learning based inference attacks via adversarial examples opportunities and challenges")
  Member "community detection via semi synchronous label propagation algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "detecting coalitions by optimally partitioning signed networks of political collaboration")
  Member "finding deceptive opinion spam by any stretch of the imagination":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "description based text classification with reinforcement learning")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SI(Social and Information Networks)