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: "social networks under stress"
  Abstract: Social network research has begun to take advantage of fine-grained communications regarding coordination, decision-making, and knowledge sharing. These studies, however, have not generally analyzed how external events are associated with a social network's structure and communicative properties. Here, we study how external events are associated with a network's change in structure and communications. Analyzing a complete dataset of millions of instant messages among the decision-makers in a large hedge fund and their network of outside contacts, we investigate the link between price shocks, network structure, and change in the affect and cognition of decision-makers embedded in the network. When price shocks occur the communication network tends not to display structural changes associated with adaptiveness. Rather, the network "turtles up". It displays a propensity for higher clustering, strong tie interaction, and an intensification of insider vs. outsider communication. Further, we find changes in network structure predict shifts in cognitive and affective processes, execution of new transactions, and local optimality of transactions better than prices, revealing the important predictive relationship between network structure and collective behavior within a social network.

Connected through hyperedge HE-1 (induced by source paper "are all successful communities alike characterizing and predicting the success of online communities"):
  with members:
    - "network structure efficiency and performance in wikiprojects"
    - "tracing community genealogy how new communities emerge from the old"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "a warm welcome matters the link between social feedback and weight loss in r loseit"
    - "loyalty in online communities"
    - "the effect of social feedback in a reddit weight loss community"
    - "all who wander on the prevalence and characteristics of multi community engagement"
    - "the lifecycles of apps in a social ecosystem"

Connected through hyperedge HE-2 (induced by source paper "planted hitting set recovery in hypergraphs"):
  with members:
    - "three hypergraph eigenvector centralities"
    - "core fringe link prediction"
    - "simplicial closure and higher order link prediction"
    - "found graph data and planted vertex covers"
    - "bubing massive crawling for the masses"
    - "pagerank beyond the web"
    - "axioms for centrality"

Connected through hyperedge HE-3 (induced by source paper "link prediction in networks with core fringe data"):
  with members:
    - "found graph data and planted vertex covers"
    - "snorkel rapid training data creation with weak supervision"
    - "identification of core periphery structure in networks"
    - "exact recovery in the stochastic block model"
    - "supervised random walks predicting and recommending links in social networks"

Connected through hyperedge HE-4 (induced by source paper "this is why we play characterizing online fan communities of the nba teams"):
  with members:
    - "tracing community genealogy how new communities emerge from the old"
    - "community interaction and conflict on the web"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "community identity and user engagement in a multi community landscape"
    - "a web of hate tackling hateful speech in online social spaces"
    - "shocking the crowd the effect of censorship shocks on chinese wikipedia"
    - "loyalty in online communities"
    - "all who wander on the prevalence and characteristics of multi community engagement"

Connected through hyperedge HE-5 (induced by source paper "size agnostic change point detection framework for evolving networks"):
  with members:
    - "motifs in temporal networks"
    - "random graph models for dynamic networks"
    - "fast change point detection on dynamic social networks"
    - "detecting change points in the large scale structure of evolving networks"
    - "multi level anomaly detection on time varying graph data"
    - "graph based anomaly detection and description a survey"
    - "deltacon a principled massive graph similarity function"

Connected through hyperedge HE-6 (induced by source paper "core fringe link prediction"):
  with members:
    - "found graph data and planted vertex covers"
    - "snorkel rapid training data creation with weak supervision"
    - "exact recovery in the stochastic block model"
    - "supervised random walks predicting and recommending links in social networks"

Connected through hyperedge HE-7 (induced by source paper "the effect of collective attention on controversial debates on social media"):
  with members:
    - "the ebb and flow of controversial debates on social media"
    - "a long term analysis of polarization on twitter"
    - "reducing controversy by connecting opposing views"
    - "quantifying controversy in social media"
    - "is twitter a public sphere for online conflicts a cross ideological and cross hierarchical look"
    - "social determinants of content selection in the age of mis information"
    - "is the sample good enough comparing data from twitter s streaming api with twitter s firehose"
    - "dynamical classes of collective attention in twitter"

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)