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: "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
  Abstract: Google Scholar has been well received by the research community. Its promises of free, universal and easy access to scientific literature as well as the perception that it covers better than other traditional multidisciplinary databases the areas of the Social Sciences and the Humanities have contributed to the quick expansion of Google Scholar Citations and Google Scholar Metrics: two new bibliometric products that offer citation data at the individual level and at journal level. In this paper we show the results of a experiment undertaken to analyze Google Scholar's capacity to detect citation counting manipulation. For this, six documents were uploaded to an institutional web domain authored by a false researcher and referencing all the publications of the members of the EC3 research group at the University of Granada. The detection of Google Scholar of these papers outburst the citations included in the Google Scholar Citations profiles of the authors. We discuss the effects of such outburst and how it could affect the future development of such products not only at individual level but also at journal level, especially if Google Scholar persists with its lack of transparency.

Connected through hyperedge HE-1 (induced by source paper "hunting for supernovae articles in the universe of scientometrics"):
  with members:
    - "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"
    - "a new methodology for comparing google scholar and scopus"
    - "comparing bibliometric statistics obtained from the web of science and scopus"

Connected through hyperedge HE-2 (induced by source paper "author level metrics in the new academic profile platforms the online behaviour of the bibliometrics community"):
  with members:
    - "a novel method for depicting academic disciplines through google scholar citations the case of bibliometrics"
    - "can we use google scholar to identify highly cited documents"
    - "do researchgate scores create ghost academic reputations"
    - "scholars on twitter who and how many are they"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "a review of the characteristics of 108 author level bibliometric indicators"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"

Connected through hyperedge HE-3 (induced by source paper "dimensions a competitor to scopus and the web of science"):
  with members:
    - "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"
    - "can we use google scholar to identify highly cited documents"
    - "citation analysis with microsoft academic"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "more precise methods for national research citation impact comparisons"
    - "a review of the literature on citation impact indicators"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"

Connected through hyperedge HE-4 (induced by source paper "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison"):
  with members:
    - "evidence of open access of scientific publications in google scholar a large scale analysis"
    - "google scholar as a data source for research assessment"
    - "can we use google scholar to identify highly cited documents"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"

Connected through hyperedge HE-5 (induced by source paper "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"):
  with members:
    - "the number of linked references of publications in microsoft academic in comparison with the web of science"
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-6 (induced by source paper "a novel method for depicting academic disciplines through google scholar citations the case of bibliometrics"):
  with members:
    - "can we use google scholar to identify highly cited documents"
    - "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013"
    - "methods for estimating the size of google scholar"
    - "information metrics imetrics a research specialty with a socio cognitive identity"
    - "coverage and adoption of altmetrics sources in the bibliometric community"
    - "beyond citations scholars visibility on the social web"

Connected through hyperedge HE-7 (induced by source paper "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"):
  with members:
    - "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison"
    - "google scholar as a data source for research assessment"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"
    - "a new methodology for comparing google scholar and scopus"

Connected through hyperedge HE-8 (induced by source paper "over optimization of academic publishing metrics observing goodhart s law in action"):
  with members:
    - "h index manipulation by merging articles"
    - "growth in the number of references in engineering journal papers during the 1972 2013 period"
    - "weighted citation an indicator of an article s prestige"
    - "graphlab a new framework for parallel machine learning"
    - "towards a new crown indicator an empirical analysis"

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.DL(Digital Libraries)