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 "understanding human machine networks a cross disciplinary survey"):
  Abstract: In the current hyper-connected era, modern Information and Communication Technology systems form sophisticated networks where not only do people interact with other people, but also machines take an increasingly visible and participatory role. Such human-machine networks (HMNs) are embedded in the daily lives of people, both for personal and professional use. They can have a significant impact by producing synergy and innovations. The challenge in designing successful HMNs is that they cannot be developed and implemented in the same manner as networks of machines nodes alone, nor following a wholly human-centric view of the network. The problem requires an interdisciplinary approach. Here, we review current research of relevance to HMNs across many disciplines. Extending the previous theoretical concepts of socio-technical systems, actor-network theory, cyber-physical-social systems, and social machines, we concentrate on the interactions among humans and between humans and machines. We identify eight types of HMNs: public-resource computing, crowdsourcing, web search engines, crowdsensing, online markets, social media, multiplayer online games and virtual worlds, and mass collaboration. We systematically select literature on each of these types and review it with a focus on implications for designing HMNs. Moreover, we discuss risks associated with HMNs and identify emerging design and development trends.

Includes members:
  Member "human machine networks towards a typology and profiling framework":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mediated behavioural change in human machine networks exploring network characteristics trust and motivation")
  Member "anticipatory mobile computing a survey of the state of the art and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards security as a service to protect the critical resources of mobile computing devices")
  Member "the emergence and dynamical evolution of complex transport networks from simple low level behaviours":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "embodied approximation of the density classification problem via morphological adaptation")
  Member "applying a text based affective dialogue system in psychological research case studies on the effects of system behaviour interaction context and social exclusion":
    also connected through other hyperedges:
      (none)
  Member "journal maps interactive overlays and the measurement of interdisciplinarity on the basis of scopus data 1996 2012":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "aggregated journal journal citation relations in scopus and web of science matched and compared in terms of networks maps and interactive overlays")
  Member "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "early detection of research trends")
  Member "the role of social networks in information diffusion":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep learning approach on information diffusion in heterogeneous networks")
  Member "the anatomy of the grid enabling scalable virtual organizations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "serverless supercomputing high performance function as a service for science")

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.SI(Social and Information Networks)