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: "reviewing national cybersecurity awareness for users and executives in africa"
  Abstract: There is an unprecedented increase in cybercrime globally observed over the last years. One of the regions driving this increase is Africa, where significant financial losses are reported. Yet, citizens of African countries are not aware of the risks present in cyberspace. The design and implementation of national awareness campaigns by African countries to address this problem are in their infancy state, mainly due to the absence of capacity building efforts. As part of the Global Cybersecurity Capacity Centre (GCSCC) programme, we conducted a series of focus groups in six African countries, in order to assess their cybersecurity posture, a critical component of which is user and executive awareness of cyber risks. This paper is an extended version of previous work where an initial analysis of awareness for cyber risk in African countries was presented. In this extended version, we reflect on best practice approaches for developing national awareness campaigns and use these as a framework to analyse qualitative data from the focus groups. We discuss the current state of African countries with regards to the implementation of national cybersecurity awareness campaigns for. users and executives, the main obstacles in combating cybercrime and conclude with recommendations on how African countries can identify and prioritise activities to increase their capacity regarding cybersecurity awareness.

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.CY(Computers and Society)