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: "characterizing topological assumptions of distributed algorithms in dynamic networks"
  Abstract: Besides the complexity in time or in number of messages, a common approach for analyzing distributed algorithms is to look at the assumptions they make on the underlying network. We investigate this question from the perspective of network dynamics. In particular, we ask how a given property on the evolution of the network can be rigorously proven as necessary or sufficient for a given algorithm. The main contribution of this paper is to propose the combination of two existing tools in this direction: local computations by means of graph relabelings, and evolving graphs. Such a combination makes it possible to express fine-grained properties on the network dynamics, then examine what impact those properties have on the execution at a precise, intertwined, level. We illustrate the use of this framework through the analysis of three simple algorithms, then discuss general implications of this work, which include (i) the possibility to compare distributed algorithms on the basis of their topological requirements, (ii) a formal hierarchy of dynamic networks based on these requirements, and (iii) the potential for mechanization induced by our framework, which we believe opens a door towards automated analysis and decision support in dynamic networks.

Connected through hyperedge HE-1 (induced by source paper "distributed online data aggregation in dynamic graphs"):
  with members:
    - "time varying graphs and dynamic networks"
    - "the computational power of population protocols"

Connected through hyperedge HE-2 (induced by source paper "efficiently testing t interval connectivity in dynamic graphs"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "the next 700 impossibility results in time varying graphs"
    - "dmvp foremost waypoint coverage of time varying graphs"
    - "testing temporal connectivity in sparse dynamic graphs"
    - "temporal reachability graphs"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "enabling minimal dominating set in highly dynamic distributed systems"):
  with members:
    - "the next 700 impossibility results in time varying graphs"
    - "temporal reachability graphs"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "on the feasibility of maintenance algorithms in dynamic graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "the next 700 impossibility results in time varying graphs"):
  with members:
    - "enabling minimal dominating set in highly dynamic distributed systems"
    - "temporal reachability graphs"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "on the feasibility of maintenance algorithms in dynamic graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-5 (induced by source paper "testing temporal connectivity in sparse dynamic graphs"):
  with members:
    - "rumor spreading in random evolving graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "shortest fastest and foremost broadcast in dynamic networks"):
  with members:
    - "lower bounds on information dissemination in dynamic networks"
    - "agreement in directed dynamic networks"
    - "information spreading in stationary markovian evolving graphs"
    - "time varying graphs and dynamic networks"
    - "information propagation speed in mobile and delay tolerant networks"
    - "exploration of periodically varying graphs"
    - "the computational power of population protocols"

Connected through hyperedge HE-7 (induced by source paper "expressivity of time varying graphs and the power of waiting in dynamic networks"):
  with members:
    - "information spreading in stationary markovian evolving graphs"
    - "time varying graphs and dynamic networks"
    - "exploration of periodically varying graphs"
    - "the computational power of population protocols"

Connected through hyperedge HE-8 (induced by source paper "building fastest broadcast trees in periodically varying graphs"):
  with members:
    - "on the treewidth of dynamic graphs"
    - "time varying graphs and dynamic networks"
    - "information propagation speed in mobile and delay tolerant networks"
    - "exploration of periodically varying graphs"

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)