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Introduction The idea of using published papers to study collaboration patterns among scientists is not new (Price 1965 ). In information science, for example, there is a substantial body of literature concerned with co-authorship

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co-authorship relations, but, nevertheless, they only show the relationships among authors based on the number of co-authored papers and are not suitable for such a challenging task. Thus, the main goal of this study is to introduce a novel

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? Where do citations go?). There are two main styles of analytical tool sets: (1) counting and calculating descriptive measures that have been derived from citation or co-authorship data, and (2) network analysis, acknowledging the complex nature of

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Abstract  

This study investigates South–South collaboration in research, and specifically collaboration among the 15 countries of the Southern African Development Community (SADC) as well as between the SADC and the rest of Africa. It was found that only 3% of SADC papers during 2005–2008 were jointly authored by researchers from two or more SADC countries (intra-regional collaboration), and only 5% of SADC papers were jointly authored with researchers from African countries outside the SADC (continental collaboration). In contrast, 47% of SADC papers were co-authored with scientists from high-income countries. The few instances of intra-regional and continental collaboration in the SADC are largely the product of North–South collaboration. Authors from high-income countries are included in 60% of intra-regional co-authored papers and in 59% of continental co-authored papers. Moreover, between 2005 and 2008, South Africa produced 81% of all SADC papers and 78% of all intra-regional co-authored papers. This implies that there is a highly unbalanced and unequal partnership that can best be described as a variant of North–South collaboration with the scientific giant in the South taking on the role of the ‘political North’. As a consequence, guidelines for successful North–South collaborations should be extended to include South–South collaborations that comprise highly unequal partners, as is the case between South Africa and the other SADC countries.

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publication form of research output and its organization on a meso-level in terms of journals (BRAD), and (3) a co-authorship model of re-ranking examining the collaboration between the human actors of knowledge flow in science (AUTH). STR addresses the

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. These differences are also not statistically significant (self-citations included: t = −1.754, df = 49.4, p = 0.086; self-citations excluded: t = −0.709, df = 52, p = 0.481). Overall the results indicate that foreign co-authorship is a

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Table 8 illustrates the influence sub-Saharan African and foreign countries (combined) have on the research output (knowledge production) and citation impact of the selected countries. The Table compares sole authorship with (a) co-authorship with other

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, E. S. 1990 Measurement of Scientific Cooperation and Co-Authorship in EC Related Areas of Science EC Report EUR12900 Office for Official Publications of the European Communities Luxemburg

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’ network actors (nodes) are authors and ties (links) are co-authorship relations among them. A tie exists between each two actors (scholars) if they have at least one co-authored paper. Constructing collaboration (co-authorship) networks of scholars

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Abstract  

The paper points out that the characteristic properties of general social networks are reflected in co-authorship patterns of theoretical population genetics as studied from 1900 to 1980. The results are consistent with the analyses of bibliographies where the co-authorship networks in invisible colleges probably have shown the same behavioural patterns as the non-scientific populations. The patterns of behaviour are portrayed in two-dimensional as well as three-dimensional representations of co-authorship data in theoretical population genetics.

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