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: "estimating collective judgement of rumours in social media"
  Abstract: Social media is a rich source of rumours and corresponding community reactions. Determining the extent of community belief in a rumour is of value for marketing, politics and journalism. Moreover, collective judgements have been shown to correlate with ground truth. We formulate the problem of estimating the collective judgement of a rumour in social media as a supervised learning using annotated examples. Rumours reflect different characteristics, some shared and some individual. We consider both supervised and unsupervised domain adaptation, in which rumour predictions are made on the basis of other annotated rumours. Evaluation on a set of several thousands tweets on seven rumours shows that we can successfully predict individual and collective judgements.

Connected through hyperedge HE-1 (induced by source paper "360 deg stance detection"):
  with members:
    - "liar liar pants on fire a new benchmark dataset for fake news detection"
    - "identifying users with opposing opinions in twitter debates"

Connected through hyperedge HE-2 (induced by source paper "simple open stance classification for rumour analysis"):
  with members:
    - "stance detection with bidirectional conditional encoding"
    - "analysing how people orient to and spread rumours in social media by looking at conversational threads"
    - "microblog analysis as a programme of work"
    - "distributed representations of words and phrases and their compositionality"

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)