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: "the danger theory and its application to artificial immune systems"
  Abstract: Over the last decade, a new idea challenging the classical self-non-self viewpoint has become popular amongst immunologists. It is called the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune System practitioners. An overview of the Danger Theory is presented with particular emphasis on analogies in the Artificial Immune Systems world. A number of potential application areas are then used to provide a framing for a critical assessment of the concept, and its relevance for Artificial Immune Systems.

Connected through hyperedge HE-1 (induced by source paper "negative selection approach application in network intrusion detection systems"):
  with members:
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "artificial immune systems tutorial"
    - "immune system approaches to intrusion detection a review"

Connected through hyperedge HE-2 (induced by source paper "sensing danger innate immunology for intrusion detection"):
  with members:
    - "dendritic cells for syn scan detection"
    - "information fusion for anomaly detection with the dendritic cell algorithm"
    - "towards a conceptual framework for innate immunity"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "articulation and clarification of the dendritic cell algorithm"
    - "immune system approaches to intrusion detection a review"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-3 (induced by source paper "immune system approaches to intrusion detection a review"):
  with members:
    - "towards a conceptual framework for innate immunity"
    - "malicious code execution detection and response immune system inspired by the danger theory"

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.NE(Neural and Evolutionary Computing)