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: "do researchgate scores create ghost academic reputations"
  Abstract: The academic social network site ResearchGate (RG) has its own indicator, RG Score, for its members. The high profile nature of the site means that the RG Score may be used for recruitment, promotion and other tasks for which researchers are evaluated. In response, this study investigates whether it is reasonable to employ the RG Score as evidence of scholarly reputation. For this, three different author samples were investigated. An outlier sample includes 104 authors with high values. A Nobel sample comprises 73 Nobel winners from Medicine and Physiology, Chemistry, Physics and Economics (from 1975 to 2015). A longitudinal sample includes weekly data on 4 authors with different RG Scores. The results suggest that high RG Scores are built primarily from activity related to asking and answering questions in the site. In particular, it seems impossible to get a high RG Score solely through publications. Within RG it is possible to distinguish between (passive) academics that interact little in the site and active platform users, who can get high RG Scores through engaging with others inside the site (questions, answers, social networks with influential researchers). Thus, RG Scores should not be mistaken for academic reputation indicators.

Connected through hyperedge HE-1 (induced by source paper "readership data and research impact"):
  with members:
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "on full text download and citation distributions in scientific scholarly journals"
    - "do mendeley readership counts help to filter highly cited wos publications better than average citation impact of journals jcs"
    - "national research impact indicators from mendeley readers"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "user participation in an academic social networking service a survey of open group users on mendeley"

Connected through hyperedge HE-2 (induced by source paper "ten years of research on researchgate a scoping review using google scholar 2008_2017"):
  with members:
    - "scholarly use of social media and altmetrics a review of the literature"

Connected through hyperedge HE-3 (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"
    - "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"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"

Connected through hyperedge HE-4 (induced by source paper "which us and european higher education institutions are visible in researchgate and what affects their rg score"):
  with members:
    - "author level metrics in the new academic profile platforms the online behaviour of the bibliometrics community"
    - "information exchange on an academic social networking site a multidiscipline comparison on researchgate q a"
    - "the counting house measuring those who count presence of bibliometrics scientometrics informetrics webometrics and altmetrics in the google scholar citations researcherid researchgate mendeley twitter"
    - "growth rates of modern science a bibliometric analysis based on the number of publications and cited references"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

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)