Results 21 to 30 of about 10,068 (229)
PageRank in malware categorization [PDF]
Proceedings of the 2015 Conference on research in adaptive and convergent systems, 2015 In this paper, we propose a malware categorization method that models malware behavior in terms of instructions using PageRank. PageRank computes ranks of web pages based on structural information and can also compute ranks of instructions that represent the structural information of the instructions in malware analysis methods.
Kang, BooJoong +3 more
openaire +7 more sources
The sleekest link algorithm [PDF]
, 2003 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
PageRank for bibliographic networks [PDF]
Scientometrics, 2008 In this paper, we present several modifications of the classical PageRank formula adapted for bibliographic networks. Our versions of PageRank take into account not only the citation but also the co-authorship graph. We verify the viability of our algorithms by applying them to the data from the DBLP digital library and by comparing the resulting ranks
Dalibor Fiala +2 more
openaire +1 more source
puzzlef/pagerank-adjust-damping-factor: For Adjusting PageRank parameters and Comparing results [v1]
, 2021 Part of the report Adjusting PageRank parameters and Comparing results. Comparing the effect of using different values of damping factor, with PageRank (pull, CSR). Adjustment of the damping factor α is a delicate balancing act. For smaller values of α,
Subhajit Sahu
core +1 more source
Networks of causal relationships in the U.S. stock market
Dependence Modeling, 2022 We consider a network-based framework for studying causal relationships in financial markets and demonstrate this approach by applying it to the entire U.S. stock market.
Shirokikh Oleg +6 more
doaj +1 more source
Sentence Graph Attention for Content-Aware Summarization
Applied Sciences, 2022 Neural network-based encoder–decoder (ED) models are widely used for abstractive text summarization. While the encoder first reads the source document and embeds salient information, the decoder starts from such encoding to generate the summary word-by ...
Giovanni Siragusa, Livio Robaldo
doaj +1 more source
The identification of influential nodes based on structure similarity
Connection Science, 2021 The identification of influential nodes in complex networks is an open issue. To address it, many centrality measures have been proposed, among which the most representative iteration algorithm is the PageRank algorithm.
Jie Zhao +3 more
doaj +1 more source
IEEE Access, 2019 Protein remote homology detection is one of the most challenging problems in the field of protein sequence analysis, which is an important step for both theoretical research (such as the understanding of structures and functions of proteins) and drug ...
Bin Liu, Yulin Zhu
doaj +1 more source
Visibilidad de las sedes web de los museos de Cataluña
Revista Española de Documentación Científica, 2010 El artículo presenta los resultados de un análisis de la visibilidad de todas las sedes web de museos de Cataluña entre los años 2006 y 2009. A partir de los datos obtenidos en Yahoo Site Explorer se ha podido comprobar que globalmente el número de ...
Joan Isidre Badell, Cristòfol Rovira
doaj +1 more source
Enhancing Spectrum-Based Fault Localization Using Fault Influence Propagation
IEEE Access, 2020 With the rapidly increasing complexity and indispensable status of software systems, unprecedented challenges have been brought to software debugging and fault repair.
Hongdou He +3 more
doaj +1 more source