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: "multicolored dynamos on toroidal meshes"
  Abstract: Detecting on a graph the presence of the minimum number of nodes (target set) that will be able to "activate" a prescribed number of vertices in the graph is called the target set selection problem (TSS) proposed by Kempe, Kleinberg, and Tardos. In TSS's settings, nodes have two possible states (active or non-active) and the threshold triggering the activation of a node is given by the number of its active neighbors. Dealing with fault tolerance in a majority based system the two possible states are used to denote faulty or non-faulty nodes, and the threshold is given by the state of the majority of neighbors. Here, the major effort was in determining the distribution of initial faults leading the entire system to a faulty behavior. Such an activation pattern, also known as dynamic monopoly (or shortly dynamo), was introduced by Peleg in 1996. In this paper we extend the TSS problem's settings by representing nodes' states with a "multicolored" set. The extended version of the problem can be described as follows: let G be a simple connected graph where every node is assigned a color from a finite ordered set C = {1, . . ., k} of colors. At each local time step, each node can recolor itself, depending on the local configurations, with the color held by the majority of its neighbors. Given G, we study the initial distributions of colors leading the system to a k monochromatic configuration in toroidal meshes, focusing on the minimum number of initial k-colored nodes. We find upper and lower bounds to the size of a dynamo, and then special classes of dynamos, outlined by means of a new approach based on recoloring patterns, are characterized.

Connected through hyperedge HE-1 (induced by source paper "rooting opinions in the minds a cognitive model and a formal account of opinions and their dynamics"):
  with members:
    - "dynamic monopolies in colored tori"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "emergence through selection the evolution of a scientific challenge"
    - "time varying graphs and dynamic networks"
    - "selection in scientific networks"

Connected through hyperedge HE-2 (induced by source paper "understanding opinions a cognitive and formal account"):
  with members:
    - "dynamic monopolies in colored tori"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "emergence through selection the evolution of a scientific challenge"
    - "time varying graphs and dynamic networks"
    - "selection in scientific networks"

Connected through hyperedge HE-3 (induced by source paper "opinions within media power and gossip"):
  with members:
    - "dynamic monopolies in colored tori"
    - "time varying graphs and social network analysis temporal indicators and metrics"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "dynamic monopolies in colored tori"):
  with members:
    - "time varying graphs and dynamic networks"
    - "on irreversible dynamic monopolies in general graphs"

Connected through hyperedge HE-5 (induced by source paper "simulating opinion dynamics in heterogeneous communication"):
  with members:
    - "time varying graphs and 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.DC(Distributed, Parallel, and Cluster Computing)