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: "coalition games with cooperative transmission a cure for the curse of boundary nodes in selfish packet forwarding wireless networks"
  Abstract: In wireless packet-forwarding networks with selfish nodes, applications of a repeated game can induce the nodes to forward each others' packets, so that the network performance can be improved. However, the nodes on the boundary of such networks cannot benefit from this strategy, as the other nodes do not depend on them. This problem is sometimes known as the curse of the boundary nodes. To overcome this problem, an approach based on coalition games is proposed, in which the boundary nodes can use cooperative transmission to help the backbone nodes in the middle of the network. In return, the backbone nodes are willing to forward the boundary nodes' packets. The stability of the coalitions is studied using the concept of a core. Then two types of fairness, namely, the min-max fairness using nucleolus and the average fairness using the Shapley function are investigated. Finally, a protocol is designed using both repeated games and coalition games. Simulation results show how boundary nodes and backbone nodes form coalitions together according to different fairness criteria. The proposed protocol can improve the network connectivity by about 50%, compared with pure repeated game schemes.

Connected through hyperedge HE-1 (induced by source paper "coalitional game theoretic approach for cooperative transmission in vehicular networks"):
  with members:
    - "opportunistic df af selection relaying with optimal relay selection in nakagami m fading environments"
    - "coalition formation games for distributed cooperation among roadside units in vehicular networks"
    - "coalitional game theory for communication networks a tutorial"
    - "coalitions in cooperative wireless networks"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-2 (induced by source paper "selfish distributed compression over networks correlation induces anarchy"):
  with members:
    - "minimum cost mirror sites using network coding replication versus coding at the source nodes"
    - "rate and power allocation under the pairwise distributed source coding constraint"
    - "minimum cost distributed source coding over a network"
    - "minimum cost multicast over coded packet networks"
    - "network information flow with correlated sources"

Connected through hyperedge HE-3 (induced by source paper "cores of cooperative games in information theory"):
  with members:
    - "information inequalities for joint distributions with interpretations and applications"
    - "minimum cost distributed source coding over a network"
    - "generalized entropy power inequalities and monotonicity properties of information"
    - "combinatorial auctions with decreasing marginal utilities"

Connected through hyperedge HE-4 (induced by source paper "a distributed merge and split algorithm for fair cooperation in wireless networks"):
  with members:
    - "auction based distributed resource allocation for cooperation transmission in wireless networks"
    - "stable partitions in coalitional games"

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.IT(Information Theory)