Proceedings ArticleDOI
Correlating centralities of social networks
Neelaabh Gupta,Anagh Narain,Akshat Arora,Dolly Sharma +3 more
- pp 1-6
TLDR
A new centrality measure is introduced — Cohesion Centrality based on the cohesiveness of a graph, develop its sequential algorithm and further devise a parallel algorithm to implement it.Abstract:
Centrality is an important measure to identify the most important actors in a network. This paper discusses the various Centrality Measures used in Social Network Analysis. These measures are tested on complex real-world social network data sets such as Video Sharing Networks, Social Interaction Network and Co-Authorship Networks to examine their effects on them. We carry out the correlation analysis of these centralities and plot the results to recommend when to use those centrality measures. Additionally, we introduce a new centrality measure — Cohesion Centrality based on the cohesiveness of a graph, develop its sequential algorithm and further devise a parallel algorithm to implement it.read more
Citations
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Journal ArticleDOI
Betweenness Centrality in Large Complex Networks
TL;DR: In this article, the authors analyzed the betweenness centrality of nodes in large complex networks and showed that for trees or networks with a small loop density, a larger density of loops leads to the same result.
Journal ArticleDOI
Topic modelling and social network analysis of publications and patents in humanoid robot technology
TL;DR: Analysis of data from scientific articles and patents to identify the evolving trends and underlying topics in research on humanoid robots using topic modelling based on latent Dirichlet allocation analysis and social network analysis to detect important and influential sub-areas.
Journal ArticleDOI
The development trend of artificial intelligence in medical: A patentometric analysis
TL;DR: Patentometric and Social Network Analysis are used to conduct the characterizations of patent applications and cooperative networks, mapping a holistic landscape related to the AI- medical field, indicating that the quantity of AI-medical-related patent applications has been increasing explosively since 2011.
References
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Journal ArticleDOI
Social Network Analysis: Methods and Applications.
TL;DR: This work characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links that connect them.
Book
Social Network Analysis
TL;DR: 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.
MonographDOI
What is social network analysis
TL;DR: Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals.
Journal ArticleDOI
Eigenvector-like measures of centrality for asymmetric relations
Phillip Bonacich,Paulette Lloyd +1 more
TL;DR: An alternative measure of centrality is suggested that equals an eigenvector when eigenvectors can be used and provides meaningfully comparable results when they cannot.