The brillouin measure of an author's contribution to a literature in psychology

Boyce, Bert R.; Martín, David

doi:10.1002/asi.4630320110

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…san, 1975), there is evidence that such analysis is a reasonable way to judge journal influence through use (Garfield, 1972;Smith, 1981;Jensen, Long, Smith, Stulz, & Warner, 1987). Journal cohesiveness can be measured, for example, by determining the effect of each journal upon the amount of communication entropy (disorder) existing in a system of journals publishing articles on the same subject (Shaw, 1981(Shaw, , 1983Pao, 1980;Boyce & Martin, 1981).…”

Section: The Methodology: Citations Analysismentioning

confidence: 99%

“…A measure of this mutual citation strength used in bibliometric research relates the effect of each journal to the amount of communication entropy (disorder) existing in a system of journals publishing articles on the same subject (the Brillouin measure: Shaw, 1981Shaw, , 1983Pao, 1980;Boyce & Martin, 1981). In this analysis, the data in Table 3 (Shannon & Weaver, 1963) to measure the amount of communication entropy within a set of journals.…”

Section: Determining the Mis Core Based Upon Cohesionmentioning

confidence: 99%

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Communicating MIS research: A citation study of journal influence

Cooper

Blair

Pao

1993

Information Processing & Management

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Abstract-Due to difficulties with objectively evaluating the quality of MIS research, attitudes about journals in which this research is published play an important role in determining the allocation of research resources. To provide a more objective basis for these attitudes, we examine journal influence in communicating MIS research over a 9-year period using citation analyses, researcher perceptions, and publishing patterns of top MIS research universities. As a result of these analyses, we identify a cohesive stable group of highly influential journals which can reasonably be called an MIS core. An internal ranking of this core is then determined which is significantly different from prior rankings.

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Section: The Methodology: Citations Analysismentioning

confidence: 99%

Section: Determining the Mis Core Based Upon Cohesionmentioning

confidence: 99%

Communicating MIS research: A citation study of journal influence

Cooper

Blair

Pao

1993

Information Processing & Management

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Collaboration in computational musicology

Pao

1982

J. Am. Soc. Inf. Sci.

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Productivity and collaboration are defined in terms of a 1966 study of a scientific group. These two parameters in a humanistic subject, computational musicology, are compared with the earlier study. The two most collaborative musicologists are also most prolific. However, only IWO of the humanistic literature are involved in coauthorship as compared with 80% of the scientific subject. Although heavy collaboration is an effective mechanism to stimulate substantially higher productivity, there is also a distinct core of highly prolific musicologists who collaborate very little, if at all. We suggest that such evidence supports the traditional belief that the humanist has a general tendency to work alone.

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Statistical disorder and the analysis of a communication‐graph

Shaw¹

1983

J. Am. Soc. Inf. Sci.

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The lines of a co‐author graph represent channels of communication through which information has been and may continue to be informally exchanged. The Brillouin Information Measure can be used to describe important properties of the co‐author graph and other communication‐graphs. The “connectedness” of a graph can be represented on a scale in which one limiting value signifies a connected graph and the other limiting value signifies a graph in which all points are isolated. Important points can be distinguished from all other points in a communication‐graph. These important points are defined mathematically and are called synthetic cutpoints. A measure of importance can be assigned to each point in a communication‐graph. This measure can be used to order points in terms of their contribution to a favorable communication‐structure.

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The brillouin measure of an author's contribution to a literature in psychology

Cited by 3 publications

References 4 publications

Communicating MIS research: A citation study of journal influence

Communicating MIS research: A citation study of journal influence

Collaboration in computational musicology

Statistical disorder and the analysis of a communication‐graph

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