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: "happiness is assortative in online social networks"
  Abstract: Online social networking communities may exhibit highly complex and adaptive collective behaviors. Since emotions play such an important role in human decision making, how online networks modulate human collective mood states has become a matter of considerable interest. In spite of the increasing societal importance of online social networks, it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important factor in how positive and negative sentiments are maintained and spread through human society. Future research may focus on how event-specific mood states can propagate and influence user behavior in "real life."

Connected through hyperedge HE-1 (induced by source paper "friendship paradox biases perceptions in directed networks"):
  with members:
    - "what do your friends think efficient polling methods for networks using friendship paradox"
    - "do diffusion protocols govern cascade growth"
    - "centrality friendship paradoxes when our friends are more important than us"
    - "the majority illusion in social networks"
    - "the h index paradox your coauthors have a higher h index than you do"
    - "network weirdness exploring the origins of network paradoxes"
    - "generalized friendship paradox in complex networks the case of scientific collaboration"
    - "clustering and community detection in directed networks a survey"

Connected through hyperedge HE-2 (induced by source paper "on the inevitability of online echo chambers"):
  with members:
    - "quantifying biases in online information exposure"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "limited individual attention and online virality of low quality information"
    - "explaining the emergence of echo chambers on social media the role of ideology and extremism"
    - "measuring online social bubbles"
    - "the role of information diffusion in the evolution of social networks"
    - "partisan asymmetries in online political activity"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-3 (induced by source paper "the power of dynamic social networks to predict individuals mental health"):
  with members:
    - "heterogeneous network approach to predict individuals mental health"
    - "social network structure is predictive of health and wellness"
    - "daily stress recognition from mobile phone data weather conditions and individual traits"
    - "exploring the structure and function of temporal networks with dynamic graphlets"
    - "dynamic networks reveal key players in aging"

Connected through hyperedge HE-4 (induced by source paper "malware squid a novel iot malware traffic analysis framework using convolutional neural network and binary visualisation"):
  with members:
    - "a novel malware detection system based on machine learning and binary visualization"
    - "performance comparison of intrusion detection systems and application of machine learning to snort system"
    - "malware dynamic analysis evasion techniques a survey"
    - "tensorflow a system for large scale machine learning"
    - "social contagion theory examining dynamic social networks and human behavior"

Connected through hyperedge HE-5 (induced by source paper "an agent based model for emotion contagion and competition in online social media"):
  with members:
    - "limited individual attention and online virality of low quality information"
    - "measuring emotional contagion in social media"
    - "anger is more influential than joy sentiment correlation in weibo"
    - "agent based model for rural urban migration a dynamic consideration"
    - "the role of social networks in information diffusion"
    - "negative emotions boost user activity at bbc forum"
    - "twitter reciprocal reply networks exhibit assortativity with respect to happiness"
    - "weak ties subtle role of information diffusion in online social networks"

Connected through hyperedge HE-6 (induced by source paper "stance classification of social media users in independence movements"):
  with members:
    - "supporting the use of user generated content in journalistic practice"
    - "towards real time country level location classification of worldwide tweets"

Connected through hyperedge HE-7 (induced by source paper "homophily of music listening in online social networks"):
  with members:
    - "systems applications of social networks"
    - "understanding musical diversity via online social media"

Connected through hyperedge HE-8 (induced by source paper "detecting the hate code on social media"):
  with members:
    - "analyzing the targets of hate in online social media"

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)