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Introduction to Informetrics : quantitative methods in library, documentation and information science

Egghe, Leo and Rousseau, Ronald (1990) Introduction to Informetrics : quantitative methods in library, documentation and information science. Elsevier Science Publishers.

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Abstract

I. Statistics

This part begins with elementary descriptive statistics and elements of probability. It continues with a chapter on inferential statistics, including regression, correlation and nonparametric statistics. Next, there is a chapter on sampling theory, including overlap problems. Part I concludes with a short description of several techniques of multivariate statistics: multiple regression, principal component analysis, multidimensional scaling and cluster techniques.

II. Operations research and library management

The second part deals with applications of linear programming, including transportation and assignment problems, and basic queueing theory. Special attention is paid to book circulation interference.

III. Citation analysis

Citer motivations, citation networks, bibliographic coupling and co-citation analysis are introduced here. Citation measures such as the impact factor are defined. This part ends with some science policy applications.

IV. Informetric models

Informetric models and their relations are studied. At the heart of this theory is the dual approach between sources and items giving rise to the definition of Information Production Processes. Explanations and applications of the classical informetric laws as well as fitting methods are provided.

Keywords:Graph theory and shortest path algorithms, applications of fuzzy sets in libraries, Science Citation Index, Journal Citation Reports, obsolescence, barycentre method, success-breeds-success, power laws, Lotka's law, Zipf's law
Subjects:B. Information use and sociology of information. > BB. Bibliometric methods.
ID Code:3297
Deposited By:Rousseau, Ronald
Deposited On:22 February 2005
Alternative Locations:http://hdl.handle.net/1942/587
All fields:Show all fields

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