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: "many to many geographically embedded flow visualisation an evaluation"
  Abstract: Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps  [37]  with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.

Connected through hyperedge HE-1 (induced by source paper "external labeling techniques a taxonomy and survey"):
  with members:
    - "boundary labeling for rectangular diagrams"
    - "radial contour labeling with straight leaders"
    - "multi sided boundary labeling"
    - "mixed map labeling"
    - "many to one boundary labeling with backbones"

Connected through hyperedge HE-2 (induced by source paper "juxtaposing controlled empirical studies in visualization with topic developments in psychology"):
  with members:
    - "maps and globes in virtual reality"
    - "at a glance pixel approximate entropy as a measure of line chart complexity"
    - "task based effectiveness of basic visualizations"
    - "what is visualization really for"

Connected through hyperedge HE-3 (induced by source paper "a natural language based visual query approach of uncertain human trajectories"):
  with members:
    - "crowd behavior simulation with emotional contagion in unexpected multi hazard situations"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-4 (induced by source paper "what why analysis of expert interviews analysing geographically embedded flow data"):
  with members:
    - "origin destination flow maps in immersive environments"
    - "visualising geographically embedded origin destination flows in 2d and immersive environments"

Connected through hyperedge HE-5 (induced by source paper "visualising geographically embedded origin destination flows in 2d and immersive environments"):
  with members:
    - "origin destination flow maps in immersive environments"
    - "maps and globes in virtual reality"

Connected through hyperedge HE-6 (induced by source paper "origin destination flow maps in immersive environments"):
  with members:
    - "maps and globes in virtual reality"

Connected through hyperedge HE-7 (induced by source paper "exploring the limits of complexity a survey of empirical studies on graph visualisation"):
  with members:
    - "what would a graph look like in this layout a machine learning approach to large graph visualization"
    - "experimental analysis of the accessibility of drawings with few segments"
    - "visual similarity perception of directed acyclic graphs a study on influencing factors"
    - "evaluation of two interaction techniques for visualization of dynamic graphs"
    - "on the readability of boundary labeling"
    - "node node link and node link group diagrams an evaluation"
    - "a coloring algorithm for disambiguating graph and map drawings"

Connected through hyperedge HE-8 (induced by source paper "juniper a tree table approach to multivariate graph visualization"):
  with members:
    - "taggle scalable visualization of tabular data through aggregation"
    - "graffinity visualizing connectivity in large graphs"

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.HC(Human-Computer Interaction)