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-institutional scientific collaboration networks are not on the borderline of connectedness (Newman 2001a , b , c ). Only about 51% of the institutes are reachable by each other (there is a link with any length among each two nodes). Table 6

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Abstract  

The structure of scientific collaboration networks in scientometrics is investigated at the level of individuals by using bibliographic data of all papers published in the international journal Scientometrics retrieved from the Science Citation Index (SCI) of the years 1978–2004. Combined analysis of social network analysis (SNA), co-occurrence analysis, cluster analysis and frequency analysis of words is explored to reveal: (1) The microstructure of the collaboration network on scientists’ aspects of scientometrics; (2) The major collaborative fields of the whole network and of different collaborative sub-networks; (3) The collaborative center of the collaboration network in scientometrics.

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Scientometrics
Authors: Luka Kronegger, Franc Mali, Anuška Ferligoj, and Patrick Doreian

individual actors. The model was widely accepted and the implications of scale-free distributions were used to delineate the structure of scientific collaboration networks (e.g., Barabási et al. 2002 ; Moody 2004 ; Perc 2010 ; Kronegger et al. 2011

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Abstract  

Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research centerin the development and application of wireless and sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers’ propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

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Scientometrics
Authors: Zaida Chinchilla-Rodríguez, Anuska Ferligoj, Sandra Miguel, Luka Kronegger, and Félix de Moya-Anegón

collaborators’ best-connected. This would explain why scientific collaboration networks entail a core-periphery structure in which a group of authors (the core) is densely inter-connected and a complementary set of (peripheral) nodes that are not connected

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Way from Librametry to Webometrics Madras MALA 13 – 25 . Newman , M. 2001 The structure of scientific collaboration networks

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; Albert et al. 1999 ; Kumar et al. 2000 ), the Internet (Faloutsos et al. 1999 ), metabolic networks (Jeong et al. 2000 ), phone call networks (Abello et al. 1999 ; Aiello et al. 2000 ), scientific collaboration networks (Newman 2001 ; Barabasi et

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and dynamics of scientific collaboration network. Yang et al. ( 2010 ) have done a similar work like current paper. They studied the network topologies of interdisciplinary research relationships in science and technology and investigated the

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://www.leydesdorff.net for a full list their publications). Several other scholars employ similar approaches for gauging and analyzing scientific literature. For example, Newman ( 2001b ), utilizing the social network approach, constructs scientific collaboration networks

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, Liu , Z 2008 The structure of scientific collaboration networks in Scientometrics . Scientometrics 75 2 189 – 202 10.1007/s11192-007-1771-3 . Katz , JS , Martin , BR 1997 What is research

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