0000000000074323

AUTHOR

Célestin Coquidé

showing 3 related works from this author

Google matrix analysis of worldwide football mercato

2018

[EN] The worldwide football transfer market is analyzed as a directed complex network: the football clubs are the network nodes and the directed edges are weighted by the total amount of money transferred from a club to another. The Google matrix description allows to treat every club independently of their richness and allows to measure for a given club the efficiency of player sales and player acquisitions. The PageRank algorithm, developed initially for the World Wide Web, naturally characterizes the ability of a club to import players. The CheiRank algorithm, also developed to analyze large scale directed complex networks, characterizes the ability of a club to export players. The analy…

PageRankCheiRankComputer scienceBig dataComplex networksPLSFootballlaw.inventionWorld Wide WebBig dataCheiRankPageRanklawInternet dataQCAGoogle matrixMarkov chainsGoogle matrixMarkov chainbusiness.industryWeb dataComputingMilieux_PERSONALCOMPUTINGConferenceComplex networkFootball transfer marketSEMbusinessProceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)
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Contagion in Bitcoin Networks

2019

12 pages, 6 figures. Paper accepted in 2nd Workshop on Blockchain and Smart Contract Technologies (BSCT 2019), workshop satellite of 22nd International Conference on Business Information Systems (BIS 2019); International audience; We construct the Google matrices of bitcoin transactions for all year quarters during the period of January 11, 2009 till April 10, 2013. During the last quarters the network size contains about 6 million users (nodes) with about 150 million transactions. From PageRank and CheiRank probabilities, analogous to trade import and export, we determine the dimensionless trade balance of each user and model the contagion propagation on the network assuming that a user go…

CheiRankGoogle matrixMarkov chain[QFIN]Quantitative Finance [q-fin]Financial networksComputer science[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]Balance of trade01 natural sciences010305 fluids & plasmaslaw.inventionPageRankBankruptcylaw0103 physical sciencesHouse of cardsEconometrics010306 general physics[QFIN.TR]Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR]ComputingMilieux_MISCELLANEOUS
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Novel Version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network Using Social Impact

2020

International audience; Nowadays, information describing navigation behaviour of internet users are used in several fields, e-commerce, economy, sociology and data science. Such information can be extracted from different knowledge bases, including business-oriented ones. In this paper, we propose a new model for the PageRank, CheiRank and 2DRank algorithm based on the use of clickstream and pageviews data in the google matrix construction. We used data from Wikipedia and analysed links between over 20 million articles from 11 language editions. We extracted over 1.4 billion source-destination pairs of articles from SQL dumps and more than 700 million pairs from XML dumps. Additionally, we …

CheiRankPageRankSQLComputer sciencecomputer.internet_protocol01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]010305 fluids & plasmaslaw.inventionCheiRankPageRanklaw0103 physical sciencesCentrality measures010306 general physicsClickstreamcomputer.programming_languageInformation retrievalGoogle matrixGoogle matrixPageviewsSocial impactPage viewcomputerClickstreamXMLWikipedia
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