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: "graphical evolutionary game for information diffusion over social networks"
  Abstract: Social networks have become ubiquitous in our daily life, as such they have attracted great research interests recently. A key challenge is that it is of extremely large-scale with tremendous information flow, creating the phenomenon of “Big Data.” Under such a circumstance, understanding information diffusion over social networks has become an important research issue. Most of the existing works on information diffusion analysis are based on either network structure modeling or empirical approach with dataset mining. However, the information diffusion is also heavily influenced by network users' decisions, actions and their socio-economic connections, which is generally ignored in existing works. In this paper, we propose an evolutionary game theoretic framework to model the dynamic information diffusion process in social networks. Specifically, we analyze the framework in uniform degree and non-uniform degree networks and derive the closed-form expressions of the evolutionary stable network states. Moreover, the information diffusion over two special networks, Erdos-Renyi random network and the Barabasi-Albert scale-free network, are also highlighted. To verify our theoretical analysis, we conduct experiments by using both synthetic networks and real-world Facebook network, as well as real-world information spreading dataset of Memetracker. Experiments shows that the proposed game theoretic framework is effective and practical in modeling the social network users' information forwarding behaviors.

Connected through hyperedge HE-1 (induced by source paper "co contagion diffusion on multilayer networks"):
  with members:
    - "complex contagions a decade in review"
    - "co diffusion of social contagions"
    - "a picture is worth a thousand words an empirical study on the influence of content visibility on diffusion processes within a virtual world"
    - "correlated cascades compete or cooperate"
    - "a game theoretical approach to broadcast information diffusion in social networks"

Connected through hyperedge HE-2 (induced by source paper "co diffusion of social contagions"):
  with members:
    - "complex contagions a decade in review"
    - "a game theoretical approach to broadcast information diffusion in social networks"

Connected through hyperedge HE-3 (induced by source paper "a graphical evolutionary game approach to social learning"):
  with members:
    - "bayesian quadratic network game filters"
    - "evolutionary dynamics of information diffusion over social networks"
    - "distributed adaptive networks a graphical evolutionary game theoretic view"
    - "hypothesis testing in feedforward networks with broadcast failures"
    - "on learning with finite memory"
    - "gossip algorithms for distributed signal processing"

Connected through hyperedge HE-4 (induced by source paper "complex network theoretical analysis on information dissemination over vehicular networks"):
  with members:
    - "throughput optimization for massive mimo systems powered by wireless energy transfer"
    - "evolutionary dynamics of information diffusion over social networks"

Connected through hyperedge HE-5 (induced by source paper "access strategy in super wifi network powered by solar energy harvesting a pomdp method"):
  with members:
    - "data driven stochastic models and policies for energy harvesting sensor communications"
    - "evolutionary dynamics of information diffusion over social networks"

Connected through hyperedge HE-6 (induced by source paper "aggressive congestion control mechanism for space systems"):
  with members:
    - "evolutionary dynamics of information diffusion over social networks"

Connected through hyperedge HE-7 (induced by source paper "infection spreading and source identification a hide and seek game"):
  with members:
    - "on the universality of jordan centers for estimating infection sources in tree networks"
    - "robust decentralized detection and social learning in tandem networks"
    - "whose opinion to follow in multihypothesis social learning a large deviations perspective"
    - "how to identify an infection source with limited observations"
    - "spy vs spy rumor source obfuscation"
    - "evolutionary dynamics of information diffusion over social networks"
    - "identifying infection sources and regions in large networks"
    - "rooting out the rumor culprit from suspects"

Connected through hyperedge HE-8 (induced by source paper "empirical big data research a systematic literature mapping"):
  with members:
    - "performance evaluation of a natural language processing approach applied in white collar crime investigation"
    - "performance benefits of datampi a case study with bigdatabench"
    - "multilevel hierarchical kernel spectral clustering for real life large scale complex networks"
    - "the family of mapreduce and large scale data processing systems"
    - "optimizing i o for big array analytics"
    - "pf ola a high performance framework for parallel on line aggregation"
    - "can the elephants handle the nosql onslaught"
    - "towards ultrahigh dimensional feature selection for big data"

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)