Consistency and differences between centrality measures across distinct classes of networks. [PDF]
PLoS ONE, 2019 The roles of different nodes within a network are often understood through centrality analysis, which aims to quantify the capacity of a node to influence, or be influenced by, other nodes via its connection topology.
Stuart Oldham +5 more
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EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS. [PDF]
Multiscale Model Simul, 2017 Numerous centrality measures have been developed to quantify the importances of nodes in time-independent networks, and many of them can be expressed as the leading eigenvector of some matrix. With the increasing availability of network data that changes
Taylor D +4 more
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Correlation between student collaboration network centrality and academic performance
Physical Review Physics Education Research, 2018 We compute nodal centrality measures on the collaboration networks of students enrolled in three upper-division physics courses, usually taken sequentially, at the Colorado School of Mines.
David L. Vargas +5 more
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A methodology and theoretical taxonomy for centrality measures: What are the best centrality indicators for student networks? [PDF]
PLoS ONE, 2020 In order to understand and represent the importance of nodes within networks better, most of the studies that investigate graphs compute the nodes' centrality within their network(s) of interest.
Kristel Vignery, Wim Laurier
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Characterizing the interactions between classical and community-aware centrality measures in complex networks [PDF]
Scientific Reports, 2021 Identifying vital nodes in networks exhibiting a community structure is a fundamental issue. Indeed, community structure is one of the main properties of real-world networks.
Stephany Rajeh +3 more
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Identifying Network Propagation Sources Using Advanced Centrality Measures [PDF]
EntropyWe live in a time dominated by interconnected networks surrounding us on all fronts. The emergence of social media platforms has driven the expansion of social networks, facilitating fast communication worldwide.
Damian Frąszczak
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Towards a methodology for validation of centrality measures in complex networks. [PDF]
PLoS ONE, 2014 BackgroundLiving systems are associated with Social networks - networks made up of nodes, some of which may be more important in various aspects as compared to others.
Komal Batool, Muaz A Niazi
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Centrality measures in psychological networks: A simulation study on identifying effective treatment targets. [PDF]
PLoS ONEThe network theory of psychopathology suggests that symptoms in a disorder form a network and that identifying central symptoms within this network might be important for an effective and personalized treatment.
Daniel Castro +4 more
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Two betweenness centrality measures based on Randomized Shortest Paths. [PDF]
Sci Rep, 2016 This paper introduces two new closely related betweenness centrality measures based on the Randomized Shortest Paths (RSP) framework, which fill a gap between traditional network centrality measures based on shortest paths and more recent methods ...
Kivimäki I +3 more
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Clone temporal centrality measures for incomplete sequences of graph snapshots [PDF]
BMC Bioinformatics, 2017 Background Different phenomena like the spread of a disease, social interactions or the biological relation between genes can be thought of as dynamic networks. These can be represented as a sequence of static graphs (so called graph snapshots). Based on
Moritz Hanke, Ronja Foraita
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