4.6 Article

Evolution of Publications, Subjects, and Co-Authorships in Network-on-Chip Research From a Complex Network Perspective

Journal

IEEE ACCESS
Volume 9, Issue -, Pages 149399-149422

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3123106

Keywords

Networks-on-chip; science of science; complex network

Funding

  1. National Natural Science Foundation of China [61971200]
  2. Natural Science Foundation of Guangdong Province [2018A030313166]
  3. Zhejiang Laboratory [2021LE0AB01]
  4. Pearl River Science and Technology (S&T) Nova Program of Guangzhou [201806010038]
  5. Open Research Grant of State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences [CARCH201916]
  6. Fundamental Research Funds for the Central Universities [2019MS087]
  7. National Key Research and Development Program of China [2019QY0705]
  8. Key Laboratory of Big Data and Intelligent Robot (South China University of Technology), Ministry of Education

Ask authors/readers for more resources

The research on Network-on-Chip (NoC) has seen fluctuations since the year 2000, with the field now in a relatively stable phase. By analyzing the evolution and outcomes of NoC research through three specific complex networks, researchers have identified the driving forces behind these changes.
The academia and industry have been pursuing network-on-chip (NoC) related research since two decades ago when there was an urgency to respond to the scaling and technological challenges imposed on intra-chip communication in SoC designs. Like any other research topic, NoC inevitably goes through its life cycle: A. it started up (2000-2007) and quickly gained traction in its own right; B. it then entered the phase of growth and shakeout (2008-2013) with the research outcomes peaked in 2010 and remained high for another four/five years; C. NoC research was considered mature and stable (2014-2020), with signs showing a steady slowdown. Although from time to time, excellent survey articles on different subjects/aspects of NoC appeared in the open literature, yet there is no general consensus on where we are in this NoC roadmap and where we are heading, largely due to lack of an overarching methodology and tool to assess and quantify the research outcomes and evolution. In this paper, we address this issue from the perspective of three specific complex networks, namely the citation network, the subject citation network, and the co-authorship network. The network structure parameters (e.g., modularity, diameter, etc.) and graph dynamics of the three networks are extracted and analyzed, which helps reveal and explain the reasons and the driving forces behind all the changes observed in NoC research over 20 years. Additional analyses are performed in this study to link interesting phenomena surrounding the NoC area. They include: (1) relationships between communities in citation networks and NoC subjects, (2) measure and visualization of a subject's influence score and its evolution, (3) knowledge flow among the six most popular NoC subjects and their relationships, (4) evolution of various subjects in terms of number of publications, (5) collaboration patterns and cross-community collaboration among the authors in NoC research, (6) interesting observation of career lifetime and productivity among NoC researchers, and finally (7) investigation of whether or not new authors are chasing hot subjects in NoC. All these analyses have led to a prediction of publications, subjects, and co-authorship in NoC research in the near future, which is also presented in the paper.

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