human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "conceptscope organizing and visualizing knowledge in documents based on domain ontology"):
  Abstract: Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, term co-occurrences, and sentence structures. However, these visualization techniques do not provide conceptual overviews that consider domain-relevant knowledge that is needed when examining documents such as research articles, technical panels, or news reports. To address this shortcoming, we present ConceptScope, a text visualization technique that aids visual analysis of documents by referencing a domain ontology to represent the conceptual relationships in a document. ConceptScope uses a Bubble TreeMap visualization linked to multiple coordinated views of document structure and concept hierarchy. The visualization also includes overviews of each concept and corresponding information from the document. ConceptScope provides two visualization modes: an exploration mode that allows an overview+detail examination of a given document, and a comparison mode that allows the user to visually compare conceptual structure between multiple documents. We demonstrate ConceptScope by visualizing research articles and transcripts of technical presentations in the computer science domain, and compare it with Docuburst, the popular knowledge visualization tool for text.

Includes members:
  Member "text to viz automatic generation of infographics from proportion related natural language statements":
    also connected through other hyperedges:
      (none)
  Member "good colour maps how to design them":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exploiting colorimetry for fidelity in data visualization")

Question: Please tell me which class the source paper 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)