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: "can social influence be exploited to compromise security an online experimental evaluation"
  Abstract: Social media has enabled users and organizations to obtain information about technology usage like software usage and even security feature usage. However, on the dark side it has also allowed an adversary to potentially exploit the users in a manner to either obtain information from them or influence them towards decisions that might have malicious settings or intents. While there have been substantial efforts into understanding how social influence affects one's likelihood to adopt a security technology, especially its correlation with the number of friends adopting the same technology, in this study we investigate whether peer influence can dictate what users decide over and above their own knowledge. To this end, we manipulate social signal exposure in an online controlled experiment with human participants to investigate whether social influence can be harnessed in a negative way to steer users towards harmful security choices. We analyze this through a controlled game where each participant selects one option when presented with six security technologies with differing utilities, with one choice having the most utility. Over multiple rounds of the game, we observe that social influence as a tool can be quite powerful in manipulating a user's decision towards adoption of security technologies that are less efficient. However, what stands out more in the process is that the manner in which a user receives social signals from its peers decides the extent to which social influence can be successful in changing a user's behavior.

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)