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: "a robust information source estimator with sparse observations"
  Abstract: In this paper, we consider the problem of locating the information source with sparse observations. We assume that a piece of information spreads in a network following a heterogeneous susceptible-infected-recovered (SIR) model and that a small subset of infected nodes are reported, from which we need to find the source of the information. We adopt the sample path based estimator developed in [1], and prove that on infinite trees, the sample path based estimator is a Jordan infection center with respect to the set of observed infected nodes. In other words, the sample path based estimator minimizes the maximum distance to observed infected nodes. We further prove that the distance between the estimator and the actual source is upper bounded by a constant independent of the number of infected nodes with a high probability on infinite trees. Our simulations on tree networks and real world networks show that the sample path based estimator is closer to the actual source than several other algorithms.

Connected through hyperedge HE-1 (induced by source paper "information source detection with limited time knowledge"):
  with members:
    - "on the universality of jordan centers for estimating infection sources in tree networks"
    - "estimating infection sources in networks using partial timestamps"
    - "catch em all locating multiple diffusion sources in networks with partial observations"
    - "multiple infection sources identification with provable guarantees"
    - "hiding the rumor source"
    - "how to identify an infection source with limited observations"
    - "information source detection in the sir model a sample path based approach"
    - "locating the source of diffusion in large scale networks"

Connected through hyperedge HE-2 (induced by source paper "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"):
  with members:
    - "dandelion redesigning the bitcoin network for anonymity"
    - "anonymity properties of the bitcoin p2p network"
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "hijacking bitcoin large scale network attacks on cryptocurrencies"
    - "deanonymisation of clients in bitcoin p2p network"
    - "bitcoin over tor isn t a good idea"
    - "spy vs spy rumor source obfuscation"
    - "pisces anonymous communication using social networks"

Connected through hyperedge HE-3 (induced by source paper "necessary and sufficient budgets in information source finding with querying adaptivity gap"):
  with members:
    - "rumor source detection under querying with untruthful answers"
    - "back to the past source identification in diffusion networks from partially observed cascades"
    - "locally adaptive optimization adaptive seeding for monotone submodular functions"
    - "rooting out the rumor culprit from suspects"
    - "finding an infection source under the sis model"
    - "information source detection in the sir model a sample path based approach"

Connected through hyperedge HE-4 (induced by source paper "estimating infection sources in networks using partial timestamps"):
  with members:
    - "optimal localization of diffusion sources in complex networks"
    - "modeling the propagation of trojan malware in online social networks"
    - "infection spreading and source identification a hide and seek game"
    - "source localization in networks trees and beyond"
    - "how to identify an infection source with limited observations"
    - "spy vs spy rumor source obfuscation"
    - "identifying infection sources and regions in large networks"
    - "finding an infection source under the sis model"

Connected through hyperedge HE-5 (induced by source paper "back to the source an online approach for sensor placement and source localization"):
  with members:
    - "observer placement for source localization the effect of budgets and transmission variance"
    - "back to the past source identification in diffusion networks from partially observed cascades"
    - "identification of source of rumors in social networks with incomplete information"
    - "approximability of the minimum weighted doubly resolving set problem"
    - "how to identify an infection source with limited observations"
    - "rooting out the rumor culprit from suspects"
    - "information source detection in the sir model a sample path based approach"
    - "locating the source of diffusion in large scale networks"

Connected through hyperedge HE-6 (induced by source paper "dandelion redesigning the bitcoin network for anonymity"):
  with members:
    - "hijacking bitcoin routing attacks on cryptocurrencies"
    - "hijacking bitcoin large scale network attacks on cryptocurrencies"
    - "deanonymisation of clients in bitcoin p2p network"
    - "bitcoin over tor isn t a good idea"
    - "spy vs spy rumor source obfuscation"
    - "locating contagion sources in networks with partial timestamps"
    - "locating the source of diffusion in large scale networks"
    - "max product for maximum weight matching convergence correctness and lp duality"

Connected through hyperedge HE-7 (induced by source paper "rumor source detection under querying with untruthful answers"):
  with members:
    - "back to the past source identification in diffusion networks from partially observed cascades"
    - "rooting out the rumor culprit from suspects"
    - "finding an infection source under the sis model"
    - "information source detection in the sir model a sample path based approach"
    - "locating the source of diffusion in large scale networks"

Connected through hyperedge HE-8 (induced by source paper "on the universality of jordan centers for estimating infection sources in tree networks"):
  with members:
    - "how to identify an infection source with limited observations"
    - "identifying infection sources and regions in large networks"
    - "rooting out the rumor culprit from suspects"
    - "information source detection in the sir model a sample path based approach"

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)