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: "faster information dissemination in dynamic networks via network coding"
  Abstract: We use network coding to improve the speed of distributed computation in the dynamic network model of Kuhn, Lynch and Oshman [STOC '10]. In this model an adversary adaptively chooses a new network topology in every round, making even basic distributed computations challenging. #R##N#Kuhn et al. show that n nodes, each starting with a d-bit token, can broadcast them to all nodes in time O(n^2) using b-bit messages, where b > d + log n. Their algorithms take the natural approach of {token forwarding}: in every round each node broadcasts some particular token it knows. They prove matching Omega(n^2) lower bounds for a natural class of token forwarding algorithms and an Omega(n log n) lower bound that applies to all token-forwarding algorithms. #R##N#We use network coding, transmitting random linear combinations of tokens, to break both lower bounds. Our algorithm's performance is quadratic in the message size b, broadcasting the n tokens in roughly d/b^2 * n^2 rounds. For b = d = O(log n) our algorithms use O(n^2/log n) rounds, breaking the first lower bound, while for larger message sizes we obtain linear-time algorithms. We also consider networks that change only every T rounds, and achieve an additional factor T^2 speedup. This contrasts with related lower and upper bounds of Kuhn et al. implying that for natural token-forwarding algorithms a speedup of T, but not more, can be obtained. Lastly, we give a general way to derandomize random linear network coding, that also leads to new deterministic information dissemination algorithms.

Connected through hyperedge HE-1 (induced by source paper "local distributed algorithms in highly dynamic networks"):
  with members:
    - "simple dynamic algorithms for maximal independent set and other problems"
    - "fully dynamic maximal independent set with sublinear update time"
    - "improved algorithms for fully dynamic maximal independent set"
    - "the cost of global broadcast in dynamic radio networks"
    - "information spreading in dynamic networks under oblivious adversaries"
    - "optimal dynamic distributed mis"
    - "enabling minimal dominating set in highly dynamic distributed systems"
    - "an improved distributed algorithm for maximal independent set"

Connected through hyperedge HE-2 (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"
    - "lower bounds on information dissemination in dynamic networks"
    - "parsimonious flooding in geometric random walks"
    - "time varying graphs and dynamic networks"
    - "analyzing network coding gossip made easy"

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"
    - "lower bounds on information dissemination in dynamic networks"
    - "fast distributed computation in dynamic networks via random walks"
    - "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 "smoothed analysis of dynamic networks"):
  with members:
    - "lower bounds for structuring unreliable radio networks"
    - "fast distributed computation in dynamic networks via random walks"
    - "information spreading in dynamic graphs"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

Connected through hyperedge HE-5 (induced by source paper "global information sharing under network dynamics"):
  with members:
    - "information spreading in dynamic networks"
    - "information spreading in dynamic graphs"
    - "order optimal information spreading using algebraic gossip"
    - "time varying graphs and dynamic networks"
    - "analyzing network coding gossip made easy"
    - "optimal gossip based aggregate computation"

Connected through hyperedge HE-6 (induced by source paper "distributed queuing in dynamic networks"):
  with members:
    - "lower bounds on information dissemination in dynamic networks"

Connected through hyperedge HE-7 (induced by source paper "bounded contention coding for wireless networks in the high snr regime"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "deterministic network model revisited an algebraic network coding approach"
    - "improved combinatorial algorithms for wireless information flow"
    - "algebraic network coding approach to deterministic wireless relay networks"
    - "collision helps algebraic collision recovery for wireless erasure networks"
    - "analyzing network coding gossip made easy"
    - "dynamic sharing of a multiple access channel"

Connected through hyperedge HE-8 (induced by source paper "lower bounds on information dissemination in dynamic networks"):
  with members:
    - "information spreading in dynamic networks"
    - "information spreading in dynamic graphs"
    - "one packet suffices highly efficient packetized network coding with finite memory"
    - "information spreading in stationary markovian evolving graphs"
    - "optimal gradient clock synchronization in dynamic networks"
    - "analyzing network coding gossip made easy"

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)