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: "the rich club phenomenon in the internet topology"
  Abstract: We show that the Internet topology at the autonomous system (AS) level has a rich-club phenomenon. The rich nodes, which are a small number of nodes with large numbers of links, are very well connected to each other. The rich-club is a core tier that we measured using the rich-club connectivity and the node-node link distribution. We obtained this core tier without any heuristic assumption between the ASs. The rich-club phenomenon is a simple qualitative way to differentiate between power law topologies and provides a criterion for new network models. To show this, we compared the measured rich-club of the AS graph with networks obtained using the Baraba/spl acute/si-Albert (BA) scale-free network model, the Fitness BA model and the Inet-3.0 model.

Connected through hyperedge HE-1 (induced by source paper "computational human dynamics"):
  with members:
    - "joint embedding of structure and features via graph convolutional networks"
    - "location occupation and semantics based socioeconomic status inference on twitter"
    - "the temporal event graph"
    - "link transmission centrality in large scale social networks"
    - "socioeconomic dependencies of linguistic patterns in twitter a multivariate analysis"
    - "graph embedding techniques applications and performance a survey"
    - "correlations and dynamics of consumption patterns in social economic networks"
    - "stream graphs and link streams for the modeling of interactions over time"

Connected through hyperedge HE-2 (induced by source paper "war pact model of shrinking networks"):
  with members:
    - "from louvain to leiden guaranteeing well connected communities"
    - "an information theoretic all scales approach to comparing networks"

Connected through hyperedge HE-3 (induced by source paper "phase transition of the 2 choices dynamics on core periphery networks"):
  with members:
    - "tight analysis for the 3 majority consensus dynamics"
    - "the coalescing branching random walk on expanders and the dual epidemic process"
    - "bounds on the voter model in dynamic networks"
    - "fast plurality consensus in regular expanders"
    - "discordant voting processes on finite graphs"
    - "stabilizing consensus with many opinions"
    - "core periphery in networks an axiomatic approach"
    - "the power of two choices in distributed voting"

Connected through hyperedge HE-4 (induced by source paper "on rich clubs of path based centralities in networks"):
  with members:
    - "locally estimating core numbers"
    - "truss decomposition in massive networks"
    - "core periphery structure in networks"
    - "multiscale network generation"
    - "accurately modeling the internet topology"

Connected through hyperedge HE-5 (induced by source paper "rich club ordering and the dyadic effect two interrelated phenomena"):
  with members:
    - "exploring biological network structure with clustered random networks"
    - "accurately modeling the internet topology"

Connected through hyperedge HE-6 (induced by source paper "predicting the evolution of complex networks via similarity dynamics"):
  with members:
    - "full scale cascade dynamics prediction with a local first approach"
    - "the lifecycle and cascade of wechat social messaging groups"
    - "ultra accurate collaborative information filtering via directed user similarity"
    - "can cascades be predicted"
    - "integrated structure investigation in complex networks by label propagation"

Connected through hyperedge HE-7 (induced by source paper "resilience of core periphery networks in the case of rich club"):
  with members:
    - "rich club ordering and the dyadic effect two interrelated phenomena"
    - "generalized friendship paradox in complex networks the case of scientific collaboration"

Connected through hyperedge HE-8 (induced by source paper "the perceived assortativity of social networks methodological problems and solutions"):
  with members:
    - "coding together at scale github as a collaborative social network"
    - "the anatomy of the facebook social graph"

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)