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: "approximate consensus in highly dynamic networks the role of averaging algorithms"
  Abstract: In this paper, we investigate the approximate consensus problem in highly dynamic networks in which topology may change continually and unpredictably. We prove that in both synchronous and partially synchronous systems, approximate consensus is solvable if and only if the communication graph in each round has a rooted spanning tree, i.e., there is a coordinator at each time. The striking point in this result is that the coordinator is not required to be unique and can change arbitrarily from round to round. Interestingly, the class of averaging algorithms, which are memoryless and require no process identifiers, entirely captures the solvability issue of approximate consensus in that the problem is solvable if and only if it can be solved using any averaging algorithm. Concerning the time complexity of averaging algorithms, we show that approximate consensus can be achieved with precision of $\varepsilon$ in a coordinated network model in $O(n^{n+1} \log\frac{1}{\varepsilon})$ synchronous rounds, and in $O(\Delta n^{n\Delta+1} \log\frac{1}{\varepsilon})$ rounds when the maximum round delay for a message to be delivered is $\Delta$. While in general, an upper bound on the time complexity of averaging algorithms has to be exponential, we investigate various network models in which this exponential bound in the number of nodes reduces to a polynomial bound. We apply our results to networked systems with a fixed topology and classical benign fault models, and deduce both known and new results for approximate consensus in these systems. In particular, we show that for solving approximate consensus, a complete network can tolerate up to 2n-3 arbitrarily located link faults at every round, in contrast with the impossibility result established by Santoro and Widmayer (STACS '89) showing that exact consensus is not solvable with n-1 link faults per round originating from the same node.

Connected through hyperedge HE-1 (induced by source paper "k set agreement bounds in round based models through combinatorial topology"):
  with members:
    - "a topological perspective on distributed network algorithms"
    - "topological characterization of consensus under general message adversaries"
    - "asynchrony from synchrony"

Connected through hyperedge HE-2 (induced by source paper "synthesis in presence of dynamic links"):
  with members:
    - "hierarchical information and the synthesis of distributed strategies"

Connected through hyperedge HE-3 (induced by source paper "a topological perspective on distributed network algorithms"):
  with members:
    - "topological characterization of consensus under general message adversaries"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "why extension based proofs fail"
    - "tight bounds for asymptotic and approximate consensus"
    - "locally iterative distributed delta 1 coloring below szegedy vishwanathan barrier and applications to self stabilization and to restricted bandwidth models"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on the complexity of local distributed graph problems"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "consensus in rooted dynamic networks with short lived stability"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "fast consensus under eventually stabilizing message adversaries"
    - "asynchrony from synchrony"
    - "agreement in directed dynamic networks"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-5 (induced by source paper "minmax algorithms for stabilizing consensus"):
  with members:
    - "stabilizing consensus with many opinions"
    - "agreement in directed dynamic networks"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "on the radius of nonsplit graphs and information dissemination in dynamic networks"):
  with members:
    - "consensus in rooted dynamic networks with short lived stability"
    - "rumor spreading in random evolving graphs"

Connected through hyperedge HE-7 (induced by source paper "effects of topology knowledge and relay depth on asynchronous consensus"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "reliable communication in a dynamic network in the presence of byzantine faults"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "robustness of complex networks with implications for consensus and contagion"
    - "easy impossibility proofs for k set agreement in message passing systems"

Connected through hyperedge HE-8 (induced by source paper "fast multidimensional asymptotic and approximate consensus"):
  with members:
    - "tight bounds for asymptotic and approximate consensus"
    - "multidimensional asymptotic consensus 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.DC(Distributed, Parallel, and Cluster Computing)