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Social Network Analysis
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In this article, the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work, is described and discussed. But it is argued that the analysis of social networks is not a purely static process.Abstract:
This paper reports on the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work. It is argued...read more
Citations
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How to do (or not to do) … a social network analysis in health systems research
Karl Blanchet,Philip James +1 more
TL;DR: Evidence generated through social network analysis could help policy makers to understand how health systems react over time and to better adjust health programmes and innovations to the capacities of health systems in low- and middle-income countries to achieve universal coverage.
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Distinctive Roles of Lead Users and Opinion Leaders in the Social Networks of Schoolchildren
Jan Kratzer,Christopher Lettl +1 more
TL;DR: The authors used a sample of 23 school classes consisting of 537 children and found that lead users among children appear to possess a variety of links between clusters; opinion leaders are locally positioned within clusters of children and have many direct links.
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Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web
TL;DR: New methods concerning the position of highly productive authors in the network are developed and a relationship of distribution of these authors among the clusters in the co-authorship network could be proved to be dependent upon the size of the clusters.
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Developing communities of innovation by identifying innovation champions
Elayne Coakes,Peter A.C. Smith +1 more
TL;DR: In this article, the authors argue that innovation is facilitated and supported by innovation champions, who have most influence outside traditional organisational structures when they are members of a close-knit community.
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Role of Technological Gatekeepers in the Growth of Industrial Clusters: Evidence from Chile
TL;DR: The role of technological gatekeepers in the growth of industrial clusters is investigated in this article, which shows that the most advanced firms in the cluster behave as technological gate-keepers, that is, they acquire knowledge outside cluster boundaries and contribute to diffusing knowledge to other local firms.
References
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
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Power and Centrality: A Family of Measures
TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
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Network data and measurement
TL;DR: Continued research on data quality is needed; beyond improved samples and further investigation of the informant accuracy/reliability issue, this should cover common indices of network structure, address the consequences of sampling portions of a network, and examine the robustness of indicators ofnetwork structure and position to both random and nonrandom errors of measurement.
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Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions
TL;DR: In this paper, Boorman and White proposed a dual model that partitions a population while simultaneously identifying patterns of relations and role and position concepts in the concrete social structure of small populations.