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: "graphstream a tool for bridging the gap between complex systems and dynamic graphs"
  Abstract: The notion of complex systems is common to many domains, from Biology to Economy, Computer Science, Physics, etc. Often, these systems are made of sets of entities moving in an evolving environment. One of their major characteristics is the emergence of some global properties stemmed from local interactions between the entities themselves and between the entities and the environment. The structure of these systems as sets of interacting entities leads researchers to model them as graphs. However, their understanding requires most often to consider the dynamics of their evolution. It is indeed not relevant to study some properties out of any temporal consideration. Thus, dynamic graphs seem to be a very suitable model for investigating the emergence and the conservation of some properties. GraphStream is a Java-based library whose main purpose is to help researchers and developers in their daily tasks of dynamic problem modeling and of classical graph management tasks: creation, processing, display, etc. It may also be used, and is indeed already used, for teaching purpose. GraphStream relies on an event-based engine allowing several event sources. Events may be included in the core of the application, read from a file or received from an event handler.

Connected through hyperedge HE-1 (induced by source paper "dolha an efficient and exact data structure for streaming graphs"):
  with members:
    - "time constrained continuous subgraph search over streaming graphs"
    - "hyperanf approximating the neighbourhood function of very large graphs on a budget"

Connected through hyperedge HE-2 (induced by source paper "looking for a black cat in a dark room security visualization for cyber physical system design and analysis"):
  with members:
    - "a systems approach for eliciting mission centric security requirements"

Connected through hyperedge HE-3 (induced by source paper "near optimal behavior via approximate state abstraction"):
  with members:
    - "extreme state aggregation beyond mdps"
    - "on the complexity of solving markov decision problems"
    - "model reduction techniques for computing approximately optimal solutions for markov decision processes"
    - "metrics for finite markov decision processes"
    - "methods for computing state similarity in markov decision processes"
    - "hierarchical reinforcement learning with the maxq value function decomposition"
    - "reinforcement learning a survey"

Connected through hyperedge HE-4 (induced by source paper "time varying graphs and dynamic networks"):
  with members:
    - "characterizing topological assumptions of distributed algorithms in dynamic networks"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "egomunities exploring socially cohesive person based communities"
    - "information propagation speed in mobile and delay tolerant networks"
    - "exploration of periodically varying graphs"
    - "the computational power of population protocols"
    - "k core decomposition of internet graphs hierarchies self similarity and measurement biases"

Connected through hyperedge HE-5 (induced by source paper "jbotsim a tool for fast prototyping of distributed algorithms in dynamic networks"):
  with members:
    - "characterizing topological assumptions of distributed algorithms in dynamic networks"

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.MS(Mathematical Software)