human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "web analytics for security informatics"
  Abstract: An enormous volume of security-relevant information is present on the Web, for instance in the content produced each day by millions of bloggers worldwide, but discovering and making sense of these data is very challenging. This paper considers the problem of exploring and analyzing the Web to realize three fundamental objectives: 1.) security relevant information discovery; 2.) target situational awareness, typically by making (near) real-time inferences concerning events and activities from available observations; and 3.) predictive analysis, to include providing early warning for crises and forming predictions regarding likely outcomes of emerging issues and contemplated interventions. The proposed approach involves collecting and integrating three types of Web data, textual, relational, and temporal, to perform assessments and generate insights that would be difficult or impossible to obtain using standard methods. We demonstrate the efficacy of the framework by summarizing a number of successful real-world deployments of the methodology.

Connected through hyperedge HE-1 (induced by source paper "a survey of moving target defenses for network security"):
  with members:
    - "toward a theory of cyber attacks"
    - "adversarial deep learning for robust detection of binary encoded malware"
    - "adaptive mtd security using markov game modeling"
    - "trufl distributed trust management framework in sdn"
    - "markov game modeling of moving target defense for strategic detection of threats in cloud networks"
    - "mtdeep boosting the security of deep neural nets against adversarial attacks with moving target defense"
    - "moving target defense for web applications using bayesian stackelberg games"
    - "software defined networking a comprehensive survey"

Connected through hyperedge HE-2 (induced by source paper "leveraging sociological models for predictive analytics"):
  with members:
    - "early warning analysis for social diffusion events"
    - "twitter mood predicts the stock market"
    - "using stochastic models to describe and predict social dynamics of web users"

Connected through hyperedge HE-3 (induced by source paper "early warning analysis for social diffusion events"):
  with members:
    - "twitter mood predicts the stock market"
    - "using stochastic models to describe and predict social dynamics of web users"
    - "a model of internet topology using k shell decomposition"

Connected through hyperedge HE-4 (induced by source paper "predictive non equilibrium social science"):
  with members:
    - "early warning analysis for social diffusion events"

Question: Please tell me which class the center node 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)