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: "lower bounds on information dissemination in dynamic networks"
  Abstract: We study lower bounds on information dissemination in adversarial dynamic networks. Initially, k pieces of information (henceforth called tokens) are distributed among n nodes. The tokens need to be broadcast to all nodes through a synchronous network in which the topology can change arbitrarily from round to round provided that some connectivity requirements are satisfied. #R##N#If the network is guaranteed to be connected in every round and each node can broadcast a single token per round to its neighbors, there is a simple token dissemination algorithm that manages to deliver all k tokens to all the nodes in O(nk) rounds. Interestingly, in a recent paper, Dutta et al. proved an almost matching Omega(n + nk/log n) lower bound for deterministic token-forwarding algorithms that are not allowed to combine, split, or change tokens in any way. In the present paper, we extend this bound in different ways. #R##N#If nodes are allowed to forward b < k tokens instead of only one token in every round, a straight-forward extension of the O(nk) algorithm disseminates all k tokens in time O(nk/b). We show that for any randomized token-forwarding algorithm, Omega(n + nk/(b^2 log n log log n)) rounds are necessary. If nodes can only send a single token per round, but we are guaranteed that the network graph is c-vertex connected in every round, we show a lower bound of Omega(nk/(c log^{3/2} n)), which almost matches the currently best O(nk/c) upper bound. Further, if the network is T-interval connected, a notion that captures connection stability over time, we prove that Omega(n + nk/(T^2 log n)) rounds are needed. The best known upper bound in this case manages to solve the problem in O(n + nk/T) rounds. Finally, we show that even if each node only needs to obtain a delta-fraction of all the tokens for some delta in [0,1], Omega(nk delta^3 log n) are still required.

Connected through hyperedge HE-1 (induced by source paper "the communication cost of information spreading in dynamic networks"):
  with members:
    - "information spreading in dynamic networks under oblivious adversaries"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "rumor spreading in random evolving graphs"
    - "distributed random walks"
    - "parsimonious flooding in geometric random walks"
    - "faster information dissemination in dynamic networks via network coding"
    - "time varying graphs and dynamic networks"
    - "analyzing network coding gossip made easy"

Connected through hyperedge HE-2 (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"
    - "byzantine gathering in 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"

Connected through hyperedge HE-3 (induced by source paper "information spreading in dynamic networks under oblivious adversaries"):
  with members:
    - "storage and search in dynamic peer to peer networks"
    - "fast distributed computation in dynamic networks via random walks"
    - "faster information dissemination in dynamic networks via network coding"
    - "time varying graphs and dynamic networks"
    - "analyzing network coding gossip made easy"
    - "the impact of mobility on gossip algorithms"

Connected through hyperedge HE-4 (induced by source paper "an introduction to temporal graphs an algorithmic perspective"):
  with members:
    - "terminating distributed construction of shapes and patterns in a fair solution of automata"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"
    - "dmvp foremost waypoint coverage of time varying graphs"
    - "simple and efficient local codes for distributed stable network construction"
    - "distance oracles for time dependent networks"
    - "naming and counting in anonymous unknown dynamic networks"
    - "on the treewidth of dynamic graphs"

Connected through hyperedge HE-5 (induced by source paper "live exploration of dynamic rings"):
  with members:
    - "an introduction to temporal graphs an algorithmic perspective"
    - "on temporal graph exploration"
    - "naming and counting in anonymous unknown dynamic networks"
    - "agreement in directed dynamic networks"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "information spreading in dynamic graphs"
    - "information spreading in stationary markovian evolving graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "investigating the cost of anonymity on dynamic networks"):
  with members:
    - "naming and counting in anonymous unknown dynamic networks"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-7 (induced by source paper "distributed connectivity decomposition"):
  with members:
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "a new perspective on vertex connectivity"
    - "connected domatic packings in node capacitated graphs"
    - "distributed verification and hardness of distributed approximation"
    - "efficient distributed random walks with applications"
    - "minimum cuts in near linear time"

Connected through hyperedge HE-8 (induced by source paper "message and time efficient multi broadcast schemes"):
  with members:
    - "distributed connectivity of wireless networks"
    - "distributed deterministic broadcasting in wireless networks under the sinr model"

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.DS(Data Structures and Algorithms)