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: "timeline a dynamic hierarchical dirichlet process model for recovering birth death and evolution of topics in text stream"
  Abstract: Topic models have proven to be a useful tool for discovering latent structures in document collections. However, most document collections often come as temporal streams and thus several aspects of the latent structure such as the number of topics, the topics' distribution and popularity are time-evolving. Several models exist that model the evolution of some but not all of the above aspects. In this paper we introduce infinite dynamic topic models, iDTM, that can accommodate the evolution of all the aforementioned aspects. Our model assumes that documents are organized into epochs, where the documents within each epoch are exchangeable but the order between the documents is maintained across epochs. iDTM allows for unbounded number of topics: topics can die or be born at any epoch, and the representation of each topic can evolve according to a Markovian dynamics. We use iDTM to analyze the birth and evolution of topics in the NIPS community and evaluated the efficacy of our model on both simulated and real datasets with favorable outcome.

Connected through hyperedge HE-1 (induced by source paper "homogeneity based transmissive process to model true and false news in social networks"):
  with members:
    - "the rise of guardians fact checking url recommendation to combat fake news"
    - "false information on web and social media a survey"
    - "limiting the spread of fake news on social media platforms by evaluating users trustworthiness"
    - "fake news detection in social networks via crowd signals"
    - "leveraging the crowd to detect and reduce the spread of fake news and misinformation"
    - "fake news mitigation via point process based intervention"
    - "joint modeling of topics citations and topical authority in academic corpora"
    - "science vs conspiracy collective narratives in the age of misinformation"

Connected through hyperedge HE-2 (induced by source paper "gasc genre aware semantic change for ancient greek"):
  with members:
    - "time out temporal referencing for robust modeling of lexical semantic change"
    - "survey of computational approaches to diachronic conceptual change"
    - "a state of the art of semantic change computation"
    - "survey of computational approaches to lexical semantic change"
    - "modeling language change in historical corpora the case of portuguese"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"
    - "that s sick dude automatic identification of word sense change across different timescales"

Connected through hyperedge HE-3 (induced by source paper "evolutionary self expressive models for subspace clustering"):
  with members:
    - "evolutionary clustering via message passing"
    - "active orthogonal matching pursuit for sparse subspace clustering"
    - "theoretical analysis of sparse subspace clustering with missing entries"
    - "noisy subspace clustering via matching pursuits"
    - "structured sparse subspace clustering a joint affinity learning and subspace clustering framework"
    - "high dimensional low rank plus sparse matrix decomposition"
    - "innovation pursuit a new approach to subspace clustering"
    - "a randomized greedy algorithm for near optimal sensor scheduling in large scale sensor networks"

Connected through hyperedge HE-4 (induced by source paper "a constrained coupled matrix tensor factorization for learning time evolving and emerging topics"):
  with members:
    - "some advances in role discovery in graphs"

Connected through hyperedge HE-5 (induced by source paper "dynamic and static topic model for analyzing time series document collections"):
  with members:
    - "recent developments in aerial robotics a survey and prototypes overview"

Connected through hyperedge HE-6 (induced by source paper "scalable dynamic topic modeling with clustered latent dirichlet allocation clda"):
  with members:
    - "moliere automatic biomedical hypothesis generation system"
    - "bibliographic analysis with the citation network topic model"
    - "peacock learning long tail topic features for industrial applications"
    - "dependent hierarchical normalized random measures for dynamic topic modeling"

Connected through hyperedge HE-7 (induced by source paper "online visual analytics of text streams"):
  with members:
    - "bayesian rose trees"

Connected through hyperedge HE-8 (induced by source paper "presenting a new dataset for the timeline generation problem"):
  with members:
    - "time dependent hierarchical dirichlet model for timeline generation"

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.IR(Information Retrieval)