2011 44th Hawaii International Conference on System Sciences 2011
DOI: 10.1109/hicss.2011.325
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On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks

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Cited by 77 publications
(45 citation statements)
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“…For example, it may be stated that density (overall connection level of the network) and centrality (connection around focal players) are complementary measurements to define the network's performance. Abbasi and Altmann (2011) affirm that the scholars with strong co-authorship links and high centrality perform better than those with weak links and low centrality. Furthermore, the efficiency of a network or high performance of the co-authors is also expanded as these strongly relate with few co-authors of a high-cohesion group.…”
Section: Definition Of Network Parameters By Category and Its Meaningssupporting
confidence: 48%
“…For example, it may be stated that density (overall connection level of the network) and centrality (connection around focal players) are complementary measurements to define the network's performance. Abbasi and Altmann (2011) affirm that the scholars with strong co-authorship links and high centrality perform better than those with weak links and low centrality. Furthermore, the efficiency of a network or high performance of the co-authors is also expanded as these strongly relate with few co-authors of a high-cohesion group.…”
Section: Definition Of Network Parameters By Category and Its Meaningssupporting
confidence: 48%
“…There are three major categories of studies using patent-based network analysis: technology transfer, research collaboration, and research performance Table 1. [34] The first category is research for analyzing knowledge transfer. Research in this category describes how research groups or patent assignees refer other patents based on patent citation information.…”
Section: Patent Co-inventor Network Analysismentioning
confidence: 99%
“…This measure is helpful to understand the importance and or influence of each node relative to the others (Xu et al, 2009;Abbasi & Altmann, 2010;Monárrez-Espino & Caballero-Hoyos, 2010). The role of those measures in details and its formula can be consult in Borgatti (1995).…”
Section: Methodsmentioning
confidence: 99%