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: "human machine networks towards a typology and profiling framework"
  Abstract: In this paper we outline an initial typology and framework for the purpose of profiling human-machine networks, that is, collective structures where humans and machines interact to produce synergistic effects. Profiling a human-machine network along the dimensions of the typology is intended to facilitate access to relevant design knowledge and experience. In this way the profiling of an envisioned or existing human-machine network will both facilitate relevant design discussions and, more importantly, serve to identify the network type. We present experiences and results from two case trials: a crisis management system and a peer-to-peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.

Connected through hyperedge HE-1 (induced by source paper "mediated behavioural change in human machine networks exploring network characteristics trust and motivation"):
  with members:
    - "automation in human machine networks how increasing machine agency affects human agency"
    - "the interplay between human and machine agency"
    - "machine agency in human machine networks impacts and trust implications"
    - "understanding human machine networks a cross disciplinary survey"

Connected through hyperedge HE-2 (induced by source paper "automation in human machine networks how increasing machine agency affects human agency"):
  with members:
    - "machine agency in human machine networks impacts and trust implications"
    - "understanding human machine networks a cross disciplinary survey"

Connected through hyperedge HE-3 (induced by source paper "understanding human machine networks a cross disciplinary survey"):
  with members:
    - "anticipatory mobile computing a survey of the state of the art and research challenges"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "applying a text based affective dialogue system in psychological research case studies on the effects of system behaviour interaction context and social exclusion"
    - "journal maps interactive overlays and the measurement of interdisciplinarity on the basis of scopus data 1996 2012"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"
    - "the role of social networks in information diffusion"
    - "the anatomy of the grid enabling scalable virtual organizations"

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)