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: "knowledge and common knowledge in a distributed environment"
  Abstract: Reasoning about knowledge seems to play a fundamental role in distributed systems. Indeed, such reasoning is a central part of the informal intuitive arguments used in the design of distributed protocols. Communication in a distributed system can be viewed as the act of transforming the system's state of knowledge. This paper presents a general framework for formalizing and reasoning about knowledge in distributed systems. We argue that states of knowledge of groups of processors are useful concepts for the design and analysis of distributed protocols. In particular, distributed knowledge corresponds to knowledge that is ``distributed'' among the members of the group, while common knowledge corresponds to a fact being ``publicly known''. The relationship between common knowledge and a variety of desirable actions in a distributed system is illustrated. Furthermore, it is shown that, formally speaking, in practical systems common knowledge cannot be attained. A number of weaker variants of common knowledge that are attainable in many cases of interest are introduced and investigated.

Connected through hyperedge HE-1 (induced by source paper "knowledge and simplicial complexes"):
  with members:
    - "a dynamic epistemic logic analysis of the equality negation task"
    - "a simplicial complex model for dynamic epistemic logic to study distributed task computability"
    - "characterizing solution concepts in terms of common knowledge of rationality"
    - "resolving distributed knowledge"
    - "geometric aspects of multiagent systems"

Connected through hyperedge HE-2 (induced by source paper "lie on the fly strategic voting in an iterative preference elicitation process"):
  with members:
    - "cognitive hierarchy and voting manipulation"
    - "online prediction with selfish experts"
    - "a local dominance theory of voting equilibria"
    - "the computational impact of partial votes on strategic voting"
    - "crowdsourced judgement elicitation with endogenous proficiency"
    - "determining possible and necessary winners under common voting rules given partial orders"
    - "dominating manipulations in voting with partial information"
    - "equilibria of plurality voting with abstentions"

Connected through hyperedge HE-3 (induced by source paper "a first order logic for reasoning about knowledge and probability"):
  with members:
    - "reasoning about discrete and continuous noisy sensors and effectors in dynamical systems"
    - "a knowledge based analysis of the blockchain protocol"
    - "reasoning about common knowledge with infinitely many agents"
    - "common knowledge revisited"
    - "reasoning about noisy sensors and effectors in the situation calculus"

Connected through hyperedge HE-4 (induced by source paper "byzantine consensus in the common case"):
  with members:
    - "practical synchronous byzantine consensus"
    - "efficient synchronous byzantine consensus"
    - "byzantine agreement with optimal early stopping optimal resilience and polynomial complexity"

Connected through hyperedge HE-5 (induced by source paper "causality and epistemic reasoning in byzantine multi agent systems"):
  with members:
    - "relating knowledge and coordinated action the knowledge of preconditions principle"
    - "common knowledge revisited"

Connected through hyperedge HE-6 (induced by source paper "asynchronous announcements"):
  with members:
    - "a simplicial complex model for dynamic epistemic logic to study distributed task computability"
    - "epistemic protocols for distributed gossiping"

Connected through hyperedge HE-7 (induced by source paper "semantic structures for spatially distributed multi agent systems"):
  with members:
    - "reasoning about common knowledge with infinitely many agents"

Connected through hyperedge HE-8 (induced by source paper "flow logic"):
  with members:
    - "computing maximum flow with augmenting electrical flows"

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)