Relevant bibliographies by topics / Classical PageRank

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Classical PageRank'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Classical PageRank"

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Concezzi, Moreno, and Renato Spigler. "ADI Methods for Three-dimensional Fractional Diffusions." International Journal of Computers and Communications 16 (March 8, 2022): 9–12. http://dx.doi.org/10.46300/91013.2022.16.2.

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ADI methods can be generalized to solve numerically multidimensional fractional diffusion equations, which describe fluid flows through porous media better than classical diffusion equations. A new, unconditionally stable, second-order and well balanced in space, third-order in time ADI scheme has been constructed and its convergence accelerated by an extrapolation technique coupled with the PageRank algorithm.
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Zhang, Jinsong, and Xiaozhong Liu. "Citation Oriented AuthorRank for Scientific Publication Ranking." Applied Sciences 12, no. 9 (2022): 4345. http://dx.doi.org/10.3390/app12094345.

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It is now generally accepted that an article written by influential authors often deserves a higher ranking in information retrieval. However, it is a challenging task to determine an author’s relative influence since information about the author is, much of the time, inaccessible. Actually, in scientific publications, the author is an important metadata item, which has been widely used in previous studies. In this paper, we bring an optimized AuthorRank, which is a topic-sensitive algorithm calculated by citation context, into citation analysis for testing whether and how topical AuthorRank c
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Zhang, Jinsong, and Xiaozhong Liu. "Citation Oriented AuthorRank for Scientific Publication Ranking." Applied Sciences 12, no. 9 (2022): 4345. http://dx.doi.org/10.3390/app12094345.

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Abstract:
It is now generally accepted that an article written by influential authors often deserves a higher ranking in information retrieval. However, it is a challenging task to determine an author’s relative influence since information about the author is, much of the time, inaccessible. Actually, in scientific publications, the author is an important metadata item, which has been widely used in previous studies. In this paper, we bring an optimized AuthorRank, which is a topic-sensitive algorithm calculated by citation context, into citation analysis for testing whether and how topical AuthorRank c
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4

Cipolla, Stefano, Carmine Di Fiore, and Francesco Tudisco. "Euler-Richardson method preconditioned by weakly stochastic matrix algebras: a potential contribution to Pagerank computation." Electronic Journal of Linear Algebra 32 (February 6, 2017): 254–72. http://dx.doi.org/10.13001/1081-3810.3343.

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Let S be a column stochastic matrix with at least one full row. Then S describes a Pagerank-like random walk since the computation of the Perron vector x of S can be tackled by solving a suitable M-matrix linear system Mx = y, where M = I − τ A, A is a column stochastic matrix and τ is a positive coefficient smaller than one. The Pagerank centrality index on graphs is a relevant example where these two formulations appear. Previous investigations have shown that the Euler- Richardson (ER) method can be considered in order to approach the Pagerank computation problem by means of preconditio
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Concezzi, Moreno, and Renato Spigler. "An ADI Method for the Numerical Solution of 3D Fractional Reaction-Diffusion Equations." Fractal and Fractional 4, no. 4 (2020): 57. http://dx.doi.org/10.3390/fractalfract4040057.

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A numerical method for solving fractional partial differential equations (fPDEs) of the diffusion and reaction–diffusion type, subject to Dirichlet boundary data, in three dimensions is developed. Such fPDEs may describe fluid flows through porous media better than classical diffusion equations. This is a new, fractional version of the Alternating Direction Implicit (ADI) method, where the source term is balanced, in that its effect is split in the three space directions, and it may be relevant, especially in the case of anisotropy. The method is unconditionally stable, second-order in space,
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Qi, Xiaogang, Lifang Liu, Guoyong Cai, and Mande Xie. "A Topology Evolution Model Based on Revised PageRank Algorithm and Node Importance for Wireless Sensor Networks." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/165136.

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Wireless sensor network (WSN) is a classical self-organizing communication network, and its topology evolution currently becomes one of the attractive issues in this research field. Accordingly, the problem is divided into two subproblems: one is to design a new preferential attachment method and the other is to analyze the dynamics of the network topology evolution. To solve the first subproblem, a revised PageRank algorithm, called Con-rank, is proposed to evaluate the node importance upon the existing node contraction, and then a novel preferential attachment is designed based on the node i
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Ma, Linxiao, Yuzhu Wang, Yue Wang, et al. "The Hotspots of Sports Science and the Effects of Knowledge Network on Scientific Performance Based on Bibliometrics and Social Network Analysis." Complexity 2021 (May 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/9981202.

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In this study, we sorted out the research hotspots in sports science by bibliometric method and also used social network analysis to explore the relationship between knowledge networks and their scientific performance. We found 38 high-frequency keywords with obvious curricular nature or classical direction of sports science research and 4 high-frequency research groups. The topics of hotspots covered the secondary disciplines of sports science: physical education and training, national traditional sports, sports human science, and sports humanities and sociology. However, sports human science
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8

Valour, D., I. Hue, B. Grimard, and B. Valour. "Gene selection heuristic algorithm for nutrigenomics studies." Physiological Genomics 45, no. 14 (2013): 615–28. http://dx.doi.org/10.1152/physiolgenomics.00139.2012.

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Large datasets from -omics studies need to be deeply investigated. The aim of this paper is to provide a new method (LEM method) for the search of transcriptome and metabolome connections. The heuristic algorithm here described extends the classical canonical correlation analysis (CCA) to a high number of variables (without regularization) and combines well-conditioning and fast-computing in “R.” Reduced CCA models are summarized in PageRank matrices, the product of which gives a stochastic matrix that resumes the self-avoiding walk covered by the algorithm. Then, a homogeneous Markov process
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Fafalios, Pavlos, Panagiotis Papadakos, and Yannis Tzitzikas. "Enriching Textual Search Results at Query Time Using Entity Mining, Linked Data and Link Analysis." International Journal of Semantic Computing 08, no. 04 (2014): 515–44. http://dx.doi.org/10.1142/s1793351x14400170.

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The integration of the classical Web (of documents) with the emerging Web of Data is a challenging vision. In this paper we focus on an integration approach during searching which aims at enriching the responses of non-semantic search systems with semantic information, i.e. Linked Open Data (LOD), and exploiting the outcome for offering advanced exploratory search services which provide an overview of the search space and allow the users to explore the related LOD. We use named entities identified in the search results for automatically connecting search hits with LOD and we consider a scenari
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Boldi, Paolo, Flavio Furia, and Sebastiano Vigna. "Monotonicity in undirected networks." Network Science, February 2, 2023, 1–23. http://dx.doi.org/10.1017/nws.2022.42.

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Abstract Is it always beneficial to create a new relationship (have a new follower/friend) in a social network? This question can be formally stated as a property of the centrality measure that defines the importance of the actors of the network. Score monotonicity means that adding an arc increases the centrality score of the target of the arc; rank monotonicity means that adding an arc improves the importance of the target of the arc relatively to the remaining nodes. It is known that most centralities are both score and rank monotone on directed, strongly connected graphs. In this paper, we
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Dissertations / Theses on the topic "Classical PageRank"

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Leelar, Bhawani Shankar. "Machine Learning Algorithms Using Classical And Quantum Photonics." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4303.

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ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm technology. The hyperconnectivity between machine-to-machine and humanto- machine creates multi-dimensional data which is more complex. Our thesis addresses the quantum meta layer abstraction which provides the interface to the Application layer to design quantum and classical algorithms. The first part of the thesis addresses the quantum algorithms and second part address cl
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Conference papers on the topic "Classical PageRank"

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Neves Neto, José de Paula, and Daniel Ratton Figueiredo. "Ranking Influential and Influenced Shares Based on the Transfer Entropy Network." In XVII Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/wperformance.2018.3324.

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Influence is a concept found in nature and society and is related to the interdependency among a set of objects. In the context of a stock market, the variation in price of shares can influence the variation in price of other shares, leading to influential and influenced shares. In this work we leverage the notion of transfer entropy to build a network of shares and pairwise directed influence that is used to rank the most influential and influenced shares. Classical network centrality metrics such as PageRank and HITS are leveraged to rank the nodes. We apply our methodology to the shares in
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Wąs, Tomasz, and Oskar Skibski. "An Axiom System for Feedback Centralities." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/62.

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In recent years, the axiomatic approach to centrality measures has attracted attention in the literature. However, most papers propose a collection of axioms dedicated to one or two considered centrality measures. In result, it is hard to capture the differences and similarities between various measures. In this paper, we propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality, Katz prestige and PageRank. We prove that each of these four centrality measures can be uniquely characterized with a subset of our axioms. Our system is the first one in
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