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: "libtissue implementing innate immunity"
  Abstract: In a previous paper the authors argued the case for incorporating ideas from innate immunity into artificial immune systems (AISs) and presented an outline for a conceptual framework for such systems. A number of key general properties observed in the biological innate and adaptive immune systems were highlighted, and how such properties might be instantiated in artificial systems was discussed in detail. The next logical step is to take these ideas and build a software system with which AISs with these properties can be implemented and experimentally evaluated. This paper reports on the results of that step - the libtissue system.

Connected through hyperedge HE-1 (induced by source paper "the dendritic cell algorithm for intrusion detection"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "exploration of the dendritic cell algorithm using the duration calculus"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "pca 4 dca the application of principal component analysis to the dendritic cell algorithm"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dca for bot detection"

Connected through hyperedge HE-2 (induced by source paper "information fusion for anomaly detection with the dendritic cell algorithm"):
  with members:
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "towards a conceptual framework for innate immunity"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-3 (induced by source paper "information fusion in the immune system"):
  with members:
    - "articulation and clarification of the dendritic cell algorithm"
    - "an immune inspired approach to anomaly detection"
    - "immune system approaches to intrusion detection a review"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-4 (induced by source paper "detecting anomalous process behaviour using second generation artificial immune systems"):
  with members:
    - "towards a conceptual framework for innate immunity"
    - "articulation and clarification of the dendritic cell algorithm"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-5 (induced by source paper "dendritic cells for syn scan detection"):
  with members:
    - "articulation and clarification of the dendritic cell algorithm"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-6 (induced by source paper "the application of a dendritic cell algorithm to a robotic classifier"):
  with members:
    - "articulation and clarification of the dendritic cell algorithm"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-7 (induced by source paper "integrating innate and adaptive immunity for intrusion detection"):
  with members:
    - "towards a conceptual framework for innate immunity"

Connected through hyperedge HE-8 (induced by source paper "the dca some comparison a comparative study between two biologically inspired algorithms"):
  with members:
    - "towards a conceptual framework for innate immunity"

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.AI(Artificial Intelligence)