In the course of the study of scientific journal's rank distributions two new parameters are defined reflecting collective properties of journals in a network where the journals are linked to each other through co-usage of user profiles for which they contain relevant papers. The first, Collectivity C is a mere structure parameter whereas Selective Collectivity N·C uses C of a journal as a weight factor for the number of hits N produced in a retrospective search in a data file. The corresponding rank distributions show besides the expected reranking effect considerable deviations from a distribution where ranking is done according to the parameter Selective Journal Productivity N.
For the first time the impact of different ranking parameters on one and the same experimentally achieved set of 610 journals is studied. Significance of the three journal ranking parameters Selective Journal Productivity, Selective Impact, and Collectivity is established. Significant parameters cause strong re-ranking in journal rank distributions and, in the transition between individual and collective parameters, also in the shape of the comulated curves. No parameter can replace an other one, each carries essential information on the communication process. The author's concept is open for more parameters and pronounces the role of man in decision making. The connection between simple behavioral principles and scientometrics is emphasized. The holography principle and the maximum speed principle are claimed to be most promising.
Nine scientists have been so far awarded the Derek de Solla Price medal which was founded by the journalScientometrics after the premature death of Derek John de Solla Price in 1983. The study of their most cited papers and other aspects of their scientific work provides good insight into the various dimensions of the developing field of scientometrics.
Selecting an appropriate set of scientific journals which best meets the users' needs and the dynamics of science requires usage of weight parameters by which journals can be ranked. Previous methods are based on the simple counting of relevant articles, or hits in SDI runs. The new method proposed combines hit numbers in SDI runs and journals' impact factors to a weight parameter called Selective Impact. The experimental results obtained show that ranking by Selective Impact leads to a higher quality of the conclusions to be drawn from journal rank distributions.
On the basis of a previously proposed method using meta-informations accumulating during SDI from an international system of the INIS-type, it is investigated, how the scientific journal rank distribution of a research institution, for which the Bradford law is valid, is composed of the single scientists' journal distributions. In this transition from a macroscopic into a microscopic field of scientific communication evidence was found for the invalidity of the Bradford law for the journal rank distribution of a single scientist. This effect seems to confirm a fundamental qualitative difference of both fields of scientific communication.
This paper1 provides further evidence for the validity of the holography and maximum speed principles. Supportive examples stem from an attempt to measure speed indicators in scientific communication processes directly; from a new scientific communication channel launched by the Institute for Scientific Information, Philadelphia, USA; from a search for correlations between scientometric indicators and socio-economic indicators; and from a study of rank distribution, phenomena occurring in the transition from individual to collective parameters for ranking of scientific journals. Examples of this kind increase the reliability of the behavioral principles when these are imposed on the design, performance and use of both the formal and informal channels of the system of scientific communication.
The coincidence method proposed earlier by one of the authors is applied to rank distribution studies of the report literature of the International Nuclear Information System, INIS, and a two-level concept is used to discuss the results of the present and previously reported investigations. Transitions between macrolevel and microlevel of information for constant forms of communication as well as transitions between different forms of communication at constant levels are compared. Escape of the information avalanche for the highly specialized single scientist, greater efficiency of the report literature compared with journal literature in the field of nuclear research, non-compatibility of macrolevel and microlevel of information could be confirmed quantitatively. It is an open question how to transform microlevel distributions into macrolevel distributions.