An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08577-y
Abstract: With an advent of social networks, spamming has posted the most important serious issues among the users. These are termed as influential users who spread the spam messages in the community which has created the… read more here.
Keywords: intelligent centrality; community; influential nodes; centrality ... See more keywords
Rank monotonicity in centrality measures—Corrigendum
Sign Up to like & getrecommendations! Published in 2019 at "Network Science"
DOI: 10.1017/nws.2019.11
Abstract: where 0≤ α < 1/ρ(M) is a damping factor, and v is a nonnegative preference vector. In Boldi et al. (2017), we discussed under which conditions damped spectral rankings on graphs, such as Katz’s index… read more here.
Keywords: measures corrigendum; rank monotonicity; monotonicity centrality; centrality measures ... See more keywords
Node centrality measures are a poor substitute for causal inference
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-43033-9
Abstract: Network models have become a valuable tool in making sense of a diverse range of social, biological, and information systems. These models marry graph and probability theory to visualize, understand, and interpret variables and their… read more here.
Keywords: measures poor; causal; centrality; node centrality ... See more keywords
Characterizing the interactions between classical and community-aware centrality measures in complex networks
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-89549-x
Abstract: 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. Recent works have shown that community-aware centrality measures compare favorably… read more here.
Keywords: community; aware centrality; classical community; community aware ... See more keywords
Catalytic and binding sites prediction in globular proteins through discrete Markov chains and network centrality measures
Sign Up to like & getrecommendations! Published in 2021 at "Physical Biology"
DOI: 10.1088/1478-3975/ac211b
Abstract: In this work we use a discrete Markov chain approach combined with network centrality measures to identify and predict the location of active sites in globular proteins. To accomplish this, we use a three-dimensional network… read more here.
Keywords: network; discrete markov; globular proteins; centrality ... See more keywords
Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks
Sign Up to like & getrecommendations! Published in 2022 at "Big data"
DOI: 10.1089/big.2021.0254
Abstract: Complex networks are representations of real-world systems that can be better modeled as multiplex networks, where the same nodes develop multi-type connections. One of the important concerns about these networks is link prediction, which has… read more here.
Keywords: link prediction; multiplex networks; centrality measures; common neighbors ... See more keywords
Matrix function-based centrality measures for layer-coupled multiplex networks
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.105.034305
Abstract: Centrality measures identify and rank the most influential entities of complex networks. In this paper, we generalize matrix function-based centrality measures, which have been studied extensively for single-layer and temporal networks in recent years to… read more here.
Keywords: matrix function; function based; centrality; based centrality ... See more keywords
From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity
Sign Up to like & getrecommendations! Published in 2018 at "International journal of neural systems"
DOI: 10.1142/s0129065717500137
Abstract: It is clear that the topological structure of a neural network somehow determines the activity of the neurons within it. In the present work, we ask to what extent it is possible to examine the… read more here.
Keywords: neuronal activity; network; centrality; structure ... See more keywords
A new method to identify influential nodes based on combining of existing centrality measures
Sign Up to like & getrecommendations! Published in 2017 at "Modern Physics Letters B"
DOI: 10.1142/s0217984917502438
Abstract: How to identify influential nodes in complex networks continues to be an open issue. A number of centrality measures have been presented to address this problem. However, these studies focus only o... read more here.
Keywords: new method; influential nodes; identify influential; method identify ... See more keywords
Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures
Sign Up to like & getrecommendations! Published in 2018 at "Entropy"
DOI: 10.3390/e20120916
Abstract: Graph energy is the energy of the matrix representation of the graph, where the energy of a matrix is the sum of singular values of the matrix. Depending on the definition of a matrix, one… read more here.
Keywords: energy; graph; graph energies; graph energy ... See more keywords