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: "mine gold to deliver green cognitive communications"
  Abstract: Geo-location database-assisted TV white space network reduces the need of energy-intensive processes (such as spectrum sensing), hence can achieve green cognitive communication effectively. The success of such a network relies on a proper business model that provides incentives for all parties involved. In this paper, we propose MINE GOLD (a Model of INformation markEt for GeO-Location Database), which enables databases to sell the spectrum information to unlicensed white space devices (WSDs) for profit. Specifically, we focus on an oligopoly information market with multiple databases, and study the interactions among databases and WSDs using a two-stage hierarchical model. In Stage I, databases compete to sell information to WSDs by optimizing their information prices. In Stage II, each WSD decides whether and from which database to purchase the information, to maximize his benefit of using the TV white space. We first characterize how the WSDs' purchasing behaviors dynamically evolve, and what is the equilibrium point under fixed information prices from the databases. We then analyze how the system parameters and the databases' pricing decisions affect the market equilibrium, and what is the equilibrium of the database price competition. Our numerical results show that, perhaps counter-intuitively, the databases' aggregate revenue is not monotonic with the number of databases. Moreover, numerical results show that a large degree of positive network externality would improve the databases' revenues and the system performance.

Connected through hyperedge HE-1 (induced by source paper "duopoly competition for mobile data plans with time flexibility"):
  with members:
    - "economic viability of data trading with rollover"
    - "a novel mobile data contract design with time flexibility"
    - "exploring time flexibility in wireless data plans"
    - "an integrated spectrum and information market for green cognitive communications"
    - "the role of data cap in optimal two part network pricing"
    - "time and location aware mobile data pricing"
    - "economic viability of paris metro pricing for digital services"
    - "a survey of smart data pricing past proposals current plans and future trends"

Connected through hyperedge HE-2 (induced by source paper "scalable mobile crowdsensing via peer to peer data sharing"):
  with members:
    - "economic analysis of crowdsourced wireless community networks"
    - "dynamic routing for social information sharing"
    - "an integrated spectrum and information market for green cognitive communications"
    - "providing long term participation incentive in participatory sensing"
    - "a game theoretic analysis of user behaviors in crowdsourced wireless community networks"
    - "hysim a hybrid spectrum and information market for tv white space networks"
    - "distributed time sensitive task selection in mobile crowdsensing"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"

Connected through hyperedge HE-3 (induced by source paper "achieving an efficient and fair equilibrium through taxation"):
  with members:
    - "two sided matching based cooperative spectrum sharing"
    - "economic analysis of crowdsourced wireless community networks"
    - "public wi fi monetization via advertising"
    - "efficient and fair collaborative mobile internet access"
    - "an integrated spectrum and information market for green cognitive communications"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"
    - "the robust price of anarchy of altruistic games"
    - "stable nash equilibria of medium access games under symmetric socially altruistic behavior"

Connected through hyperedge HE-4 (induced by source paper "when data sponsoring meets edge caching a game theoretic analysis"):
  with members:
    - "performance bound analysis for crowdsourced mobile video streaming"
    - "joint optimization of data sponsoring and edge caching for mobile video delivery"
    - "efficient and fair collaborative mobile internet access"
    - "bargaining based mobile data offloading"

Connected through hyperedge HE-5 (induced by source paper "technical report for user centric participatory sensing a game theoretic analysis"):
  with members:
    - "scalable mobile crowdsensing via peer to peer data sharing"
    - "a double auction mechanism for mobile crowd sensing with data reuse"
    - "distributed time sensitive task selection in mobile crowdsensing"

Connected through hyperedge HE-6 (induced by source paper "an integrated spectrum and information market for green cognitive communications"):
  with members:
    - "cooperative wi fi deployment a one to many bargaining framework"
    - "hysim a hybrid spectrum and information market for tv white space networks"
    - "bargaining based mobile data offloading"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"

Connected through hyperedge HE-7 (induced by source paper "optimal pricing and admission control for heterogeneous secondary users"):
  with members:
    - "time and location aware mobile data pricing"
    - "a hybrid pricing framework for tv white space database"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"

Connected through hyperedge HE-8 (induced by source paper "spectrum reservation contract design in tv white space networks"):
  with members:
    - "hysim a hybrid spectrum and information market for tv white space networks"
    - "profit incentive in a secondary spectrum market a contract design approach"

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)