Results 41 to 50 of about 39,028 (158)

Centrality Measures in multi-layer Knowledge Graphs [PDF]

Annals of computer science and information systems, 2022
Jens Dörpinghaus, Vera Weil, Carsten Düing, Martin W. Sommer   +3 more
doaj   +1 more source

Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking

IEEE Access
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the ...
Mondikathi Chiranjeevi, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi   +4 more
doaj   +1 more source

Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks

Entropy, 2022
Computing influential nodes gets a lot of attention from many researchers for information spreading in complex networks. It has vast applications, such as viral marketing, social leader creation, rumor control, and opinion monitoring.
Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Tatireddy Subba Reddy, Srilatha Tokala   +4 more
doaj   +1 more source

econet: An R Package for Parameter-Dependent Network Centrality Measures

Journal of Statistical Software, 2022
The R package econet provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented.
Marco Battaglini, Valerio Leone Sciabolazza, Eleonora Patacchini, Sida Peng   +3 more
doaj   +1 more source

IOP Measurement and Central Corneal Thickness [PDF]

Ophthalmology, 2002
In the recent paper by Feltgen and colleagues,1 the intraocular pressure (IOP) was measured by Goldmann applanation tonometry and by using a cannula inserted into the anterior chamber connected with a pressure transducer. Thus, the measurement took place omitting a possible influence of the cornea on the result.
openaire   +2 more sources

Assessing Graph Robustness through Modified Zagreb Index

Axioms, 2022
Graph robustness or network robustness is the ability that a graph or a network preserves its connectivity or other properties after the loss of vertices and edges, which has been a central problem in the research of complex networks.
Rui Chen, Jianping Li, Weihua He
doaj   +1 more source

DYNAMICS OF CENTRALITY MEASURES OF RANDOM GRAPH MATHEMATICAL MODELS [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research.Simulation is one of the most powerful tools among information security provision measures in the design process of communication systems.
Fedor L. Shuvaev, Maksim V. Tatarka
doaj   +1 more source

Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score

Entropy
Link prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researchers
Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma   +3 more
doaj   +1 more source

A Self-Adaptive Centrality Measure for Asset Correlation Networks

Economies
We propose a new centrality measure based on a self-adaptive epidemic model characterized by an endogenous reinforcement mechanism in the transmission of information between nodes. We provide a strategy to assign to nodes a centrality score that depends,
Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi   +2 more
doaj   +1 more source

Continuous-time quantum walk based centrality testing on weighted graphs

Scientific Reports, 2022
Centrality measure is an essential tool in network analysis and widely used in the domain of computer science, biology and sociology. Taking advantage of the speedup offered by quantum computation, various quantum centrality measures have been proposed ...
Yang Wang, Shichuan Xue, Junjie Wu, Ping Xu   +3 more
doaj   +1 more source