Results 11 to 20 of about 48,154 (256)
Degree Centrality for Social Network with Opsahl Method
AbstractIn this paper we study how to determine the nodes that most influential to a node in the network. Social Network Analysis (SNA) can measure the centrality of a node in order to obtain an influential nodes in the dissemination of information. One of the centrality measurement that can be applied is degree centrality. In this research, the method
Yustiawan, Yoga +2 more
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Graph Theory Approach to COVID-19 Transmission by Municipalities and Age Groups
The COVID-19 pandemic remains a global problem that affects the health of millions of people and the world economy. Identifying how the movement of people between regions of the world, countries, and municipalities and how the close contact between ...
Pedro Machado +4 more
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Community-Consideration Centrality, a Case Study of Lung Cancer Proteins
One of the most recent studies on the analysis of complex systems is to understand the role of community structure and centrality in analyzing the networks of complex systems such as protein and social networks.
Heru Cahya Rustamaji +3 more
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Degree Centrality Algorithms for Homogeneous Multilayer Networks
Centrality measures for simple graphs/networks are well-defined and each has numerous main-memory algorithms. However, for modeling complex data sets with multiple types of entities and relationships, simple graphs are not ideal. Multilayer networks (or MLNs) have been proposed for modeling them and have been shown to be better suited in many ways ...
Pavel, Hamza Reza +2 more
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A COMPARISON OF CENTRALITY MEASURES IN SUSTAINABLE DEVELOPMENT GOALS
The Millennium Development Goals (MDGs), which began in 2000 with 8 goal points, have not been able to solve the global problems. The MDGs were developed into Sustainable Development Goals (SDGs) in 2015 with 17 targeted goal points achieved in 2030 ...
Sena Ariesandy +2 more
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A new measure of centrality for brain networks. [PDF]
Recent developments in network theory have allowed for the study of the structure and function of the human brain in terms of a network of interconnected components.
Karen E Joyce +3 more
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We analyze a suite of 48 real-world networks and compute the decay centrality (DEC) of the vertices for the complete range of values for the decay parameter δ ∊ (0, 1) as well as determine the Pearson's correlation coefficient (PCC) between the DECδ ...
Natarajan Meghanathan
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Social network analysis (SNA) has emerged as a significant paradigm for research in data mining community for measuring and analyzing human dynamic network structure.
Sundus Younis, Ali Ahsan
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Modelling visual saliency using degree centrality [PDF]
Visual attention is an indispensable component of complex vision tasks. A multi-scale, complex network-based approach for determining visual saliency is described. It uses degree centrality (conceptually and computationally the simplest among all the centrality measures) over a network of image regions to form a saliency map.
R. Pal +3 more
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How to improve the safety behaviors of construction workers has dogged the realm of construction project management. Previous studies mainly focused on the individual and/or organizational factors shaping safety behaviors, while there is a dearth of ...
Shuquan Li +4 more
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