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: "opportunistic routing based on daily routines"
  Abstract: Opportunistic routing is being investigated to enable the proliferation of low-cost wireless applications. A recent trend is looking at social structures, inferred from the social nature of human mobility, to bring messages close to a destination. To have a better picture of social structures, social-based opportunistic routing solutions should consider the dynamism of users' behavior resulting from their daily routines. We address this challenge by presenting dLife, a routing algorithm able to capture the dynamics of the network represented by time-evolving social ties between pair of nodes. Experimental results based on synthetic mobility models and real human traces show that dLife has better delivery probability, latency, and cost than proposals based on social structures.

Connected through hyperedge HE-1 (induced by source paper "impact of human behavior on social opportunistic forwarding"):
  with members:
    - "assessment model for opportunistic routing"
    - "improving the delivery rate of digital inclusion applications for amazon riverside communities by using an integrated bluetooth dtn architecture"
    - "social aware opportunistic routing the new trend"
    - "social aware opportunistic routing protocol based on user s interactions and interests"
    - "socialdtn a dtn implementation for digital and social inclusion"
    - "assessment model for opportunistic routing"

Connected through hyperedge HE-2 (induced by source paper "social aware forwarding in opportunistic wireless networks content awareness or obliviousness"):
  with members:
    - "assessment model for opportunistic routing"
    - "social aware opportunistic routing the new trend"
    - "social aware opportunistic routing protocol based on user s interactions and interests"
    - "assessment model for opportunistic routing"

Connected through hyperedge HE-3 (induced by source paper "improving the delivery rate of digital inclusion applications for amazon riverside communities by using an integrated bluetooth dtn architecture"):
  with members:
    - "socialdtn a dtn implementation for digital and social inclusion"

Connected through hyperedge HE-4 (induced by source paper "a survey on routing and data dissemination in opportunistic mobile social networks"):
  with members:
    - "intrinsically dynamic network communities"
    - "coalitional game theory for communication networks a tutorial"
    - "swim a simple model to generate small mobile worlds"

Connected through hyperedge HE-5 (induced by source paper "social aware opportunistic routing protocol based on user s interactions and interests"):
  with members:
    - "assessment model for opportunistic routing"
    - "social aware opportunistic routing the new trend"
    - "assessment model for opportunistic routing"

Connected through hyperedge HE-6 (induced by source paper "social aware opportunistic routing the new trend"):
  with members:
    - "assessment model for opportunistic routing"
    - "assessment model for opportunistic routing"

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)