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: "byzantine gathering in networks"
  Abstract: This paper investigates an open problem introduced in [14]. Two or more mobile agents start from different nodes of a network and have to accomplish the task of gathering which consists in getting all together at the same node at the same time. An adversary chooses the initial nodes of the agents and assigns a different positive integer (called label) to each of them. Initially, each agent knows its label but does not know the labels of the other agents or their positions relative to its own. Agents move in synchronous rounds and can communicate with each other only when located at the same node. Up to f of the agents are Byzantine. A Byzantine agent can choose an arbitrary port when it moves, can convey arbitrary information to other agents and can change its label in every round, in particular by forging the label of another agent or by creating a completely new one. #R##N#What is the minimum number M of good agents that guarantees deterministic gathering of all of them, with termination? #R##N#We provide exact answers to this open problem by considering the case when the agents initially know the size of the network and the case when they do not. In the former case, we prove M=f+1 while in the latter, we prove M=f+2. More precisely, for networks of known size, we design a deterministic algorithm gathering all good agents in any network provided that the number of good agents is at least f+1. For networks of unknown size, we also design a deterministic algorithm ensuring the gathering of all good agents in any network but provided that the number of good agents is at least f+2. Both of our algorithms are optimal in terms of required number of good agents, as each of them perfectly matches the respective lower bound on M shown in [14], which is of f+1 when the size of the network is known and of f+2 when it is unknown.

Connected through hyperedge HE-1 (induced by source paper "want to gather no need to chatter"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-2 (induced by source paper "latecomers help to meet deterministic anonymous gathering in the plane"):
  with members:
    - "using time to break symmetry universal deterministic anonymous rendezvous"
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-3 (induced by source paper "byzantine gathering in polynomial time"):
  with members:
    - "search on a line by byzantine robots"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "how to meet asynchronously at polynomial cost"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-4 (induced by source paper "using time to break symmetry universal deterministic anonymous rendezvous"):
  with members:
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-5 (induced by source paper "gathering in dynamic rings"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "live exploration of dynamic rings"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "fault tolerant rendezvous in networks"
    - "how to meet asynchronously at polynomial cost"
    - "lower bounds on information dissemination in dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "crash tolerant gathering on grid by asynchronous oblivious robots"):
  with members:
    - "deterministic gathering with crash faults"
    - "rendezvous in networks in spite of delay faults"
    - "gathering an even number of robots in an odd ring without global multiplicity detection"
    - "the gathering problem for two oblivious robots with unreliable compasses"
    - "asynchronous mobile robot gathering from symmetric configurations without global multiplicity detection"

Connected through hyperedge HE-7 (induced by source paper "deterministic gathering with crash faults"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"

Connected through hyperedge HE-8 (induced by source paper "asynchronous approach in the plane a deterministic polynomial algorithm"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "rendezvous of distance aware mobile agents in unknown graphs"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"

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)