PlumX Metrics
SSRN
Embed PlumX Metrics

How are Statistical Journals Linked: A Network Analysis

SSRN Electronic Journal
2008
  • 0
    Citations
  • 939
    Usage
  • 1
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    939
    • Abstract Views
      858
    • Downloads
      81
  • Captures
    1
    • Readers
      1
      • SSRN
        1
  • Ratings
    • Download Rank
      617,289

Article Description

The exploratory analysis developed in this paper relies on the hypothesis that each editor possesses some power in the definition of the editorial policy of her journal. Consequently if the same scholar sits on the board of two journals, those journals could have some common elements in their editorial policies. The proximity of the editorial policies of two scientific journals can be assessed by the number of common editors sitting on their boards. A database of all editors of the journals classified as "Statistics & Probability" in the Journal of Citation Report by ISI-Thomson is used. The structure of the network generated by the interlocking editorship is explored applying the instruments of network analysis. Evidences are found of a very compact network. This is interpreted as the result of a common perspective about the appropriate methods for investigating the problems and constructing the theories in the domain of statistics.

Bibliographic Details

Alberto Baccini; Lucio Barabesi; Marzia Marcheselli

Elsevier BV

Networks; Journals; Editorial boards; Interlocking editorship; Statisticians

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know