xxzhiyouwo / MADStat

Data and code for the paper "Co-citation and Co-authorhship Networks of Statisticians" (https://www.tandfonline.com/doi/full/10.1080/07350015.2021.1978469).

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MADStat

Data and code for the paper "Co-citation and Co-authorhship Networks of Statisticians" (https://www.tandfonline.com/doi/full/10.1080/07350015.2021.1978469).

A list of ready-to-use data matrices:

  • AuPapMat: This matrix summarizes the bibtex data.
  • PapPapMat: This matrix summarizes the citation data.
  • CiteeAdjFinal.mat: The adjacency matrix of the citee network (1991-2000).
  • CiteeDynamicFinal.mat: The adjacency matrices of the 21 citee networks (1991-2015).
  • CoauAdjFinal.mat: The adjacency matrix of the co-authorship network (36 journals).
  • CoauSankeyFinal.mat: The adjacency matrices of the 3 co-authorship networks (4 jour- nals).

All the code for data analysis in the paper:

  • Code for producing the Research Map and Statistics Triangle
  • Code for getting the Research Trajectories
  • Code for obtaining the hierarchical co-authorship community tree
  • Code for Sankey plot of dynamic co-authorship communities
  • Code for analysis of personalized networks

About

Data and code for the paper "Co-citation and Co-authorhship Networks of Statisticians" (https://www.tandfonline.com/doi/full/10.1080/07350015.2021.1978469).


Languages

Language:R 60.2%Language:MATLAB 39.8%