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: "lessons learned from applying social network analysis on an industrial free libre open source software ecosystem"
  Abstract: Many software projects are no longer done in-house by a single organization. Instead, we are in a new age where software is developed by a networked community of individuals and organizations, which base their relations to each other on mutual interest. Paradoxically, recent research suggests that software development can actually be jointly-developed by rival firms. For instance, it is known that the mobile-device makers Apple and Samsung kept collaborating in open source projects while running expensive patent wars in the court. Taking a case study approach, we explore how rival firms collaborate in the open source arena by employing a multi-method approach that combines qualitative analysis of archival data (QA) with mining software repositories (MSR) and Social Network Analysis (SNA). While exploring collaborative processes within the OpenStack ecosystem, our research contributes to Software Engineering research by exploring the role of groups, sub-communities and business models within a high-networked open source ecosystem. Surprising results point out that competition for the same revenue model (i.e., operating conflicting business models) does not necessary affect collaboration within the ecosystem. Moreover, while detecting the different sub-communities of the OpenStack community, we found out that the expected social tendency of developers to work with developers from same firm (i.e., homophily) did not hold within the OpenStack ecosystem. Furthermore, while addressing a novel, complex and unexplored open source case, this research also contributes to the management literature in coopetition strategy and high-tech entrepreneurship with a rich description on how heterogeneous actors within a high-networked ecosystem (involving individuals, startups, established firms and public organizations) joint-develop a complex infrastructure for big-data in the open source arena.

Connected through hyperedge HE-1 (induced by source paper "a systematic mapping study of developer social network research"):
  with members:
    - "developer prioritization in bug repositories"
    - "on using network science in mining developers collaboration in software engineering a systematic literature review"
    - "classifying developers into core and peripheral an empirical study on count and network metrics"
    - "analysis of the social community based on the network growing model in open source software community"
    - "evolutionary trends of developer coordination a network approach"
    - "converging work talk patterns in online task oriented communities"
    - "categorizing bugs with social networks a case study on four open source software communities"
    - "a quantitative study of social organisation in open source software communities"

Connected through hyperedge HE-2 (induced by source paper "do software firms collaborate or compete a model of coopetition in community initiated oss projects"):
  with members:
    - "cooperation among competitors in the open source arena the case of openstack"

Connected through hyperedge HE-3 (induced by source paper "towards automatically identifying paid open source developers"):
  with members:
    - "do programmers work at night or during the weekend"
    - "abnormal working hours effect of rapid releases and implications to work content"

Connected through hyperedge HE-4 (induced by source paper "cooperation among competitors in the open source arena the case of openstack"):
  with members:
    - "crafting a systematic literature review on open source platforms"
    - "collaboration in the open source arena the webkit case"
    - "categorizing bugs with social networks a case study on four open source software communities"
    - "digital ecosystems in the clouds towards community cloud computing"

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)