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: "conjoining speeds up information diffusion in overlaying social physical networks"
  Abstract: We study the diffusion of information in an overlaying social-physical network. Specifically, we consider the following set-up: There is a physical information network where information spreads amongst people through conventional communication media (e.g., face-to-face communication, phone calls), and conjoint to this physical network, there are online social networks where information spreads via web sites such as Facebook, Twitter, FriendFeed, YouTube, etc. We quantify the size and the critical threshold of information epidemics in this conjoint social-physical network by assuming that information diffuses according to the SIR epidemic model. One interesting finding is that even if there is no percolation in the individual networks, percolation (i.e., information epidemics) can take place in the conjoint social-physical network. We also show, both analytically and experimentally, that the fraction of individuals who receive an item of information (started from an arbitrary node) is significantly larger in the conjoint social-physical network case, as compared to the case where the networks are disjoint. These findings reveal that conjoining the physical network with online social networks can have a dramatic impact on the speed and scale of information diffusion.

Connected through hyperedge HE-1 (induced by source paper "challenges in the decentralised web the mastodon case"):
  with members:
    - "what is gab a bastion of free speech or an alt right echo chamber"
    - "facebook a live are live social broadcasts really broadcasts"
    - "multi task dialog act and sentiment recognition on mastodon"
    - "recommending users whom to follow on federated social networks"
    - "valorising the iot databox creating value for everyone"
    - "the anatomy of the facebook social graph"
    - "unraveling bittorrent s file unavailability measurements analysis and solution exploration"

Connected through hyperedge HE-2 (induced by source paper "spreading processes in multilayer networks"):
  with members:
    - "clustering attributed graphs models measures and methods"
    - "multidimensional epidemic thresholds in diffusion processes over interdependent networks"
    - "multiple routes transmitted epidemics on multiplex networks"
    - "measuring large scale social networks with high resolution"
    - "social bootstrapping how pinterest and last fm social communities benefit by borrowing links from facebook"
    - "diffusion of innovations over multiplex social networks"
    - "cooperation optimized design for information dissemination in vehicular networks using evolutionary game theory"
    - "exploiting cellular data for disease containment and information campaigns strategies in country wide epidemics"

Connected through hyperedge HE-3 (induced by source paper "self organizing networks of information gathering cognitive agents"):
  with members:
    - "social data offloading in d2d enhanced cellular networks by network formation games"
    - "dynamic network formation with incomplete information"
    - "a game theoretic analysis of incentives in content production and sharing over peer to peer networks"
    - "coalition formation games for distributed cooperation among roadside units in vehicular networks"
    - "coalitional games for distributed collaborative spectrum sensing in cognitive radio networks"
    - "minimum cost distributed source coding over a network"
    - "network information flow with correlated sources"

Connected through hyperedge HE-4 (induced by source paper "multidimensional epidemic thresholds in diffusion processes over interdependent networks"):
  with members:
    - "spreading processes in multilayer networks"
    - "multiple routes transmitted epidemics on multiplex networks"
    - "diffusion of real time information in social physical networks"

Connected through hyperedge HE-5 (induced by source paper "graphical evolutionary game for information diffusion over social networks"):
  with members:
    - "distributed adaptive networks a graphical evolutionary game theoretic view"
    - "the role of social networks in information diffusion"
    - "a game theoretical approach to broadcast information diffusion in social networks"

Connected through hyperedge HE-6 (induced by source paper "evolutionary dynamics of information diffusion over social networks"):
  with members:
    - "graphical evolutionary game for information diffusion over social networks"
    - "distributed adaptive networks a graphical evolutionary game theoretic view"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-7 (induced by source paper "measuring transport difficulty of data dissemination in large scale online social networks an interest driven case"):
  with members:
    - "campaigning in heterogeneous social networks optimal control of si information epidemics"
    - "the untold story of the clones content agnostic factors that impact youtube video popularity"
    - "the role of social networks in information diffusion"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-8 (induced by source paper "pioneers of influence propagation in social networks"):
  with members:
    - "can cascades be predicted"
    - "pricing strategies for viral marketing on social networks"

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.SI(Social and Information Networks)