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: "a game theoretic analysis of incentives in content production and sharing over peer to peer networks"
  Abstract: Peer-to-peer (P2P) networks can be easily deployed to distribute user-generated content at a low cost, but the free-rider problem hinders the efficient utilization of P2P networks. Using game theory, we investigate incentive schemes to overcome the free-rider problem in content production and sharing. We build a basic model and obtain two benchmark outcomes: 1) the non-cooperative outcome without any incentive scheme and 2) the cooperative outcome. We then propose and examine three incentive schemes based on pricing, reciprocation, and intervention. We also study a brute-force scheme that enforces full sharing of produced content. We find that 1) cooperative peers share all produced content while non-cooperative peers do not share at all without an incentive scheme; 2) by utilizing the P2P network efficiently, the cooperative outcome achieves higher social welfare than the non-cooperative outcome does; 3) a cooperative outcome can be achieved among non-cooperative peers by introducing an incentive scheme based on pricing, reciprocation, or intervention; and 4) enforced full sharing has ambiguous welfare effects on peers. In addition to describing the solutions of different formulations, we discuss enforcement and informational requirements to implement each solution, aiming to offer a guideline for protocol design for P2P networks.

Connected through hyperedge HE-1 (induced by source paper "joint head selection and airtime allocation for data dissemination in mobile social networks"):
  with members:
    - "fair airtime allocation for content dissemination in wifi direct based mobile social networks"
    - "efficient and fair collaborative mobile internet access"

Connected through hyperedge HE-2 (induced by source paper "simplified biased contribution index sbci a mechanism to make p2p network fair and efficient for resource sharing"):
  with members:
    - "generalized analysis of convergence of absolute trust in peer to peer networks"
    - "biased contribution index a simpler mechanism to maintain fairness in peer to peer network"
    - "asynchronous gossip for averaging and spectral ranking"
    - "mapping the gnutella network properties of large scale peer to peer systems and implications for system design"

Connected through hyperedge HE-3 (induced by source paper "self organizing networks of information gathering cognitive agents"):
  with members:
    - "social data offloading in d2d enhanced cellular networks by network formation games"
    - "conjoining speeds up information diffusion in overlaying social physical networks"
    - "dynamic network formation with incomplete information"
    - "coalition formation games for distributed cooperation among roadside units in vehicular networks"
    - "coalitional games for distributed collaborative spectrum sensing in cognitive radio networks"
    - "minimum cost distributed source coding over a network"
    - "network information flow with correlated sources"

Connected through hyperedge HE-4 (induced by source paper "interactive sensing and decision making in social networks"):
  with members:
    - "loopy belief propagation for approximate inference an empirical study"
    - "graphical models for game theory"
    - "removal of data incest in multi agent social learning in social networks"
    - "tracking the empirical distribution of a markov modulated duplication deletion random graph"
    - "diffusion adaptation over networks"
    - "twitter mood predicts the stock market"
    - "game theory and the frequency selective interference channel"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

Connected through hyperedge HE-5 (induced by source paper "sharing in networks of strategic agents"):
  with members:
    - "diffusion of cooperative behavior in decentralized cognitive radio networks with selfish spectrum sensors"
    - "convergence rate analysis of distributed gossip linear parameter estimation fundamental limits and tradeoffs"
    - "bayesian sequential detection with phase distributed change time and nonlinear penalty a pomdp approach"
    - "gossip algorithms for distributed signal processing"

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.NI(Networking and Internet Architecture)