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: "mind your credit assessing the health of the ripple credit network"
  Abstract: Initially proposed as part of the cypherpunk-esque rebellion started by Bitcoin, the Ripple credit network is dramatically reshaping the financial and remittance industries. At its core, the Ripple network is a weighted directed graph of IOweYou credit links, where a transaction between two nodes is only allowed if there is sufficient max-flow between them. These path-based settlements set Ripple apart from the cryptocurrency space (such as Bitcoin and altcoins) both conceptually and in terms of applicability. This work takes an in-depth look at the Ripple network since its inception in order to un derstand its structure, evolution, and vulnerability to attacks. #R##N#We observe that gateway nodes determine not only the graph structure but also the existence of clear geographical communities. From the security point of view, although the core of the network is well-connected and provides high liquidity to users, there is a user base of around 50,000 wallets prone to disruption by as few as 10 highly connected wallets. Finally, we find that redistribution of credit (i.e., rippling) among credit links as a result of a transaction puts at risk around 30M USD in the current Ripple network. Our study should serve as a wake-up call to inattentive users to improve their connectivity to the network, and ensure that their rippling flags and credit limits on the links are correctly set.

Connected through hyperedge HE-1 (induced by source paper "detecting mixing services via mining bitcoin transaction network with hybrid motifs"):
  with members:
    - "anti money laundering in bitcoin experimenting with graph convolutional networks for financial forensics"
    - "identifying illicit accounts in large scale e payment networks a graph representation learning approach"
    - "motifs in temporal networks"
    - "higher order organization of complex networks"
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"

Connected through hyperedge HE-2 (induced by source paper "abc a cryptocurrency focused threat modeling framework"):
  with members:
    - "an empirical analysis of anonymity in zcash"
    - "an empirical analysis of linkability in the monero blockchain"

Connected through hyperedge HE-3 (induced by source paper "concurrency and privacy with payment channel networks"):
  with members:
    - "teechan payment channels using trusted execution environments"

Connected through hyperedge HE-4 (induced by source paper "the structure and evolution of an offline peer to peer financial network"):
  with members:
    - "evolution of social attribute networks measurements modeling and implications using google"
    - "four degrees of separation"

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)