Extracting Meta-information by Using Network Analysis Tools

2016 ◽  
pp. 101-109
Author(s):  
Agnieszka Stawinoga ◽  
Maria Spano ◽  
Nicole Triunfo
Keyword(s):  
Network Analysis ◽  
Analysis Tools ◽  
Meta Information

The S’ANT Imperative for Realizing the Vision of Healthcare Network Centric Operations

2011 ◽  
pp. 2206-2217
Author(s):  
Nimini Wickramasinghe ◽  
Rajeev K. Bali
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Theory ◽  
Knowledge Building ◽  
Actor Network Theory ◽  
Healthcare Network ◽  
Analysis Tools ◽  
Network Centric Operations ◽  
Tools And Techniques

In the information-intensive environment of healthcare, the networkcentric approach has been proffered as one that allows free and rapid sharing of information and effective knowledge building required for the development of coherent objectives and their rapid attainment. This article asserts that if we are to realize such a vision it is imperative to draw upon strong rich analysis tools and techniques and thus calls for the application of Social Network Analysis combined with Actor-network Theory (S’ANT).

Visualizing patent statistics by means of social network analysis tools

2008 ◽  
Vol 30 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Christian Sternitzke ◽  
Adam Bartkowski ◽  
Reinhard Schramm
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Tools ◽  
Patent Statistics

Efficiency assessment using network analysis tools

2018 ◽  
Vol 69 (11) ◽  
pp. 1803-1818 ◽  
Author(s):  
Sebastián Lozano ◽  
Laura Calzada-Infante
Keyword(s):  
Network Analysis ◽  
Efficiency Assessment ◽  
Analysis Tools

scholarly journals Germs, Social Networks and Growth

2021 ◽  
Author(s):  
Alessandra Fogli ◽  
Laura Veldkamp
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Technology Diffusion ◽  
Income Country ◽  
Social Connections ◽  
Rate Of Growth ◽  
High Diffusion ◽  
Analysis Tools ◽  
Diffusion Networks

Abstract Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do differences in these patterns come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country’s rate of growth. The correlation between high-diffusion networks and income is strongly positive. But when we use a model to isolate the effect of a change in social networks on growth, the effect can be positive, negative, or zero. The reason is that networks diffuse both ideas and disease. Low-diffusion networks have evolved in countries where disease is prevalent because limited connectivity protects residents from epidemics. But a low-diffusion network in a low-disease environment compromises the diffusion of good ideas. In general, social networks have evolved to fit their economic and epidemiological environment. Trying to change networks in one country to mimic those in a higher-income country may well be counterproductive.

Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime

2008 ◽  
pp. 171-182 ◽  
Author(s):  
Luigi Ferrara ◽  
Christian Mårtenson ◽  
Pontus Svenson ◽  
Per Svensson ◽  
Justo Hidalgo ◽  
...  
Keyword(s):  
Network Analysis ◽  
Organized Crime ◽  
Data Sources ◽  
Analysis Tools
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