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: "detect overlapping and hierarchical community structure in networks"
  Abstract: Clustering and community structure is crucial for many network systems and the related dynamic processes. It has been shown that communities are usually overlapping and hierarchical. However, previous methods investigate these two properties of community structure separately. This paper proposes an algorithm (EAGLE) to detect both the overlapping and hierarchical properties of complex community structure together. This algorithm deals with the set of maximal cliques and adopts an agglomerative framework. The quality function of modularity is extended to evaluate the goodness of a cover. The examples of application to real world networks give excellent results.

Connected through hyperedge HE-1 (induced by source paper "ensemble based overlapping community detection using disjoint community structures"):
  with members:
    - "dyperm maximizing permanence for dynamic community detection"
    - "iedc an integrated approach for overlapping and non overlapping community detection"
    - "ensemble based algorithms to detect disjoint and overlapping communities in networks"
    - "metrics for community analysis a survey"
    - "think locally act locally detection of small medium sized and large communities in large networks"
    - "on the formation of circles in co authorship networks"
    - "leveraging disjoint communities for detecting overlapping community structure"
    - "overlapping community detection in networks the state of the art and comparative study"

Connected through hyperedge HE-2 (induced by source paper "an enhanced multi objective biogeography based optimization algorithm for automatic detection of overlapping communities in a social network with node attributes"):
  with members:
    - "evaluating the effect of topic consideration in identifying communities of rating based social networks"
    - "partitioning networks with node attributes by compressing information flow"
    - "structure and overlaps of communities in networks"
    - "towards linear time overlapping community detection in social networks"
    - "slpa uncovering overlapping communities in social networks via a speaker listener interaction dynamic process"
    - "empirical comparison of algorithms for network community detection"

Connected through hyperedge HE-3 (induced by source paper "ensemble based discovery of disjoint overlapping and fuzzy community structures in networks"):
  with members:
    - "ensemble based algorithms to detect disjoint and overlapping communities in networks"
    - "permanence and community structure in complex networks"
    - "metrics for community analysis a survey"
    - "think locally act locally detection of small medium sized and large communities in large networks"
    - "personalized pagerank solution paths"
    - "leveraging disjoint communities for detecting overlapping community structure"
    - "yasca a collective intelligence approach for community detection in complex networks"
    - "overlapping community detection in networks the state of the art and comparative study"

Connected through hyperedge HE-4 (induced by source paper "efficiently detecting overlapping communities using seeding and semi supervised learning"):
  with members:
    - "overlapping community detection in networks the state of the art and comparative study"
    - "social structure of facebook networks"
    - "defining and evaluating network communities based on ground truth"
    - "slpa uncovering overlapping communities in social networks via a speaker listener interaction dynamic process"
    - "efficient and principled method for detecting communities in networks"

Connected through hyperedge HE-5 (induced by source paper "network community detection a review and visual survey"):
  with members:
    - "clustering and community detection in directed networks a survey"
    - "a classification for community discovery methods in complex networks"
    - "agent based computing from multi agent systems to agent based models a visual survey"

Connected through hyperedge HE-6 (induced by source paper "metrics for community analysis a survey"):
  with members:
    - "the ground truth about metadata and community detection in networks"
    - "on the evaluation potential of quality functions in community detection for different contexts"
    - "higher order organization of complex networks"
    - "genperm a unified method for detecting non overlapping and overlapping communities"
    - "z score based modularity for community detection in networks"
    - "permanence and community structure in complex networks"
    - "generalized measures for the evaluation of community detection methods"
    - "generalization of clustering agreements and distances for overlapping clusters and network communities"

Connected through hyperedge HE-7 (induced by source paper "node centric detection of overlapping communities in social networks"):
  with members:
    - "extension of modularity density for overlapping community structure"
    - "overlapping community detection in networks the state of the art and comparative study"
    - "shaping communities out of triangles"
    - "demon a local first discovery method for overlapping communities"
    - "towards linear time overlapping community detection in social networks"
    - "defining and evaluating network communities based on ground truth"
    - "on the np completeness of some graph cluster measures"

Connected through hyperedge HE-8 (induced by source paper "hierarchical overlapping clustering of network data using cut metrics"):
  with members:
    - "functorial hierarchical clustering with overlaps"
    - "authorship attribution through function word adjacency networks"
    - "hierarchical quasi clustering methods for asymmetric networks"
    - "axiomatic construction of hierarchical clustering in asymmetric networks"
    - "overlapping multihop clustering for wireless sensor networks"

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.CY(Computers and Society)