Results 41 to 50 of about 275,529 (157)
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the impact of an illness on a given country is essential to plan and ...
Giovanni De Toni +2 more
doaj +1 more source
Analisi dell'algoritmo di ricerca WEB Pagerank [PDF]
La necessità di reperire in modo rapido dati ed informazioni aggiornate, comporta un crescente uso dei processi di recupero di informazioni. Partendo da un loro sintetico studio, tale tesi prevede sia l'analisi dell'algoritmo di Link Analysis PageRank ...
Ruffin, Matteo
core
Can Google's PageRank be used to find the most important academic Web pages? [PDF]
Main articleGoogle's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community.
Thelwall, Mike
core +1 more source
The sleekest link algorithm [PDF]
How does Google decide which web sites are important? It uses an ingenious algorithm that exploits the structure of the web and is resistant to hacking.
Higham, Desmond J., Taylor, Alan
core +3 more sources
Graph auto-encoder with a personalized PageRank for model inversion attack on graph neural networks [PDF]
Model inversion attack is the well-known privacy attack, in which the attacker infers the sensitive information of the input data by analyzing the output results of the model.
Ning Luan +6 more
doaj +2 more sources
Survey on community detection method based on random walk
Random walk techniques achieve high accuracy and efficiency in community detection.To summarize and analyze community detection methods based on random walk, the random walk technique was classified into personalized PageRank, heat kernel diffusion and ...
Yang GAO, Hongli ZHANG
doaj +2 more sources
Local Community Detection in Dynamic Graphs Using Personalized Centrality
Analyzing massive graphs poses challenges due to the vast amount of data available. Extracting smaller relevant subgraphs allows for further visualization and analysis that would otherwise be too computationally intensive.
Eisha Nathan +3 more
doaj +1 more source
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley +1 more source
Abstract Background The zebrafish heart regenerates upon injury. During injury response, fibroblasts and endothelial cells accumulate at the site of damage, and cardiomyocyte cell cycle reentry allows cardiac muscle regrowth. It is relevant to understand how the different cell types communicate with each other to coordinate regeneration.
João A. S. Carvalho +6 more
wiley +1 more source
Index Design for Dynamic Personalized PageRank
Personalized PageRank, related to random walks with restarts and conductance in resistive networks, is a frequent search paradigm for graph-structured databases.
Amit Pathak +5 more
core +1 more source

