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: "on minimizing crossings in storyline visualizations"
  Abstract: In a storyline visualization, we visualize a collection of interacting characters e.g., in a movie, play, etc. by x-monotone curves that converge for each interaction, and diverge otherwise. Given a storyline with n characters, we show tight lower and upper bounds on the number of crossings required in any storyline visualization for a restricted case. In particular, we show that if 1 each meeting consists of exactly two characters and 2 the meetings can be modeled as a tree, then we can always find a storyline visualization with $$On\log n$$ crossings. Furthermore, we show that there exist storylines in this restricted case that require $$\varOmega n\log n$$ crossings. Lastly, we show that, in the general case, minimizing the number of crossings in a storyline visualization is fixed-parameter tractable, when parameterized on the number of characters k. Our algorithm runs in time $$Ok!^2k\log k + k!^2m$$, where m is the number of meetings.

Connected through hyperedge HE-1 (induced by source paper "computing storyline visualizations with few block crossings"):
  with members:
    - "crossing minimization in storyline visualization"
    - "block crossings in storyline visualizations"
    - "hordesat a massively parallel portfolio sat solver"

Connected through hyperedge HE-2 (induced by source paper "visualizing linguistic shift"):
  with members:
    - "freshman or fresher quantifying the geographic variation of internet language"
    - "efficient estimation of word representations in vector space"
    - "distributional measures of semantic distance a survey"

Connected through hyperedge HE-3 (induced by source paper "crossing minimization in storyline visualization"):
  with members:
    - "metro line crossing minimization hardness approximations and tractable cases"
    - "drawing binary tanglegrams an experimental evaluation"
    - "drawing complete binary tanglegrams hardness approximation fixed parameter tractability"

Connected through hyperedge HE-4 (induced by source paper "block crossings in storyline visualizations"):
  with members:
    - "sorting by transpositions is difficult"

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.DS(Data Structures and Algorithms)