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Journal relatedness: An actor-actor and actor-objectives case study

Author

Listed:
  • Radu Munteanu

    (Technical University of Cluj-Napoca)

  • Marin Apetroae

    (Executive Agency for Higher Education and Research Funding 1)

Abstract

Using the MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations) method, a set of 13 related journals covering the subject category “Chemistry, Multidisciplinary” was analyzed in terms of direct and indirect reciprocal influences (measured by relatedness indexes Rji), their positions towards a generic set of common objectives (total cites; impact factor; immediacy index; number of published articles; cited half life) and the convergences (Actors x Actors and Actors x Objectives) existing in the above-mentioned relatedness network. The study identified 4 types of actors: dominant (3), independent (8), relay (1) and dominated (1). Maps of: influences and dependences between actors; convergence between actors; net distances between actors and actors-objectives relationships are presented, together with short interpretations. Defining scientific journals as actors on a specific “knowledge market”, identifying influences and dependences between them and positioning these journals towards a set of measurable objectives creates an interesting possibility to define “relationships of power” of a strategic nature and enables the introduction of more complex future-oriented scientometric analyses than those based solely on standard bibliometric indicators such as the impact factor.

Suggested Citation

  • Radu Munteanu & Marin Apetroae, 2007. "Journal relatedness: An actor-actor and actor-objectives case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 215-230, November.
    • Handle: RePEc:spr:scient:v:73:y:2007:i:2:d:10.1007_s11192-007-1735-7
    DOI: 10.1007/s11192-007-1735-7
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    References listed on IDEAS

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    1. Alexander I. Pudovkin & Eugene Garfield, 2002. "Algorithmic procedure for finding semantically related journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(13), pages 1113-1119, November.
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    Cited by:

    1. Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.

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