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
doaj +2 more sources
Ranking Plant Network Nodes Based on Their Centrality Measures [PDF]
Entropy, 2023 Biological networks are often large and complex, making it difficult to accurately identify the most important nodes. Node prioritization algorithms are used to identify the most influential nodes in a biological network by considering their ...
Nilesh Kumar, M. Shahid Mukhtar
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
IEEE Access, 2021 One challenging issue in information science, biological systems, and many other fields is determining the most central or relevant networked systems agents.
Bruno Cesar Barreto De Figueiredo +2 more
doaj +1 more source
IEEE Access, 2023 Identifying vital nodes is important in disease research, spreading rumors, viral marketing, and drug development. The vital nodes in any network are used to spread information as widely as possible.
Koduru Hajarathaiah +4 more
doaj +1 more source