0000000000007174

AUTHOR

Sergey Kirgizov

showing 29 related works from this author

Influence Assessment in Twitter Multi-relational Network

2015

International audience; Influence in Twitter has become recently a hot research topic since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade peers. Thus, studying most influential users leads to reach a large-scale information diffusion area, something very useful in marketing or political campaigns. In this paper, we propose a new approach for influence assessment on Twitter network, it is based on a modified version of the conjunctive combination rule in belief functions theory in order to combine different influence markers such as retweets, mentions and replies. We experiment the proposed meth…

Service (systems architecture)[ INFO ] Computer Science [cs]Computer scienceTwitter networkContext (language use)Belief theoryData science[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsWorld Wide Web[SPI]Engineering Sciences [physics]Information fusionInfluenceOrder (business)[ SPI ] Engineering Sciences [physics][INFO]Computer Science [cs]Belief theoryInformation fusionDissemination2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Descent distribution on Catalan words avoiding a pattern of length at most three

2018

Catalan words are particular growth-restricted words over the set of non-negative integers, and they represent still another combinatorial class counted by the Catalan numbers. We study the distribution of descents on the sets of Catalan words avoiding a pattern of length at most three: for each such a pattern $p$ we provide a bivariate generating function where the coefficient of $x^ny^k$ in its series expansion is the number of length $n$ Catalan words with $k$ descents and avoiding $p$. As a byproduct, we enumerate the set of Catalan words avoiding $p$, and we provide the popularity of descents on this set. Some of the obtained enumerating sequences are not yet recorded in the On-line En…

FOS: Computer and information sciencesDistribution (number theory)Discrete Mathematics (cs.DM)0102 computer and information sciences02 engineering and technologyBivariate analysis01 natural sciencesTheoretical Computer ScienceCatalan numberSet (abstract data type)Combinatorics0202 electrical engineering electronic engineering information engineeringFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - Combinatorics[MATH]Mathematics [math]MathematicsDescent (mathematics)Discrete mathematicsGenerating functionDescent020206 networking & telecommunicationslanguage.human_languagePopularity010201 computation theory & mathematicsPattern avoidancelanguageCatalanCombinatorial classCombinatorics (math.CO)Catalan wordComputer Science - Discrete Mathematics
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Towards A Twitter Observatory: A Multi-Paradigm Framework For Collecting, Storing And Analysing Tweets

2016

International audience; In this article we show how a multi-paradigm framework can fulfil the requirements of tweets analysis and reduce the waiting time for researchers that use computational resources and storage systems to support large-scale data analysis. The originality of our approach is to combine concerns about data harvesting, data storage, data analysis and data visualisation into a framework that supports inductive reasoning in multidisciplinary scientific research. Our main contribution is a polyglot storage system with a generic data model to support logical data independence and a set of tools that can provide a suitable solution for mixing different types of algorithms in or…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO ] Computer Science [cs]Computer scienceknowledge discovery02 engineering and technology[INFO] Computer Science [cs][INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]Data modelingmassive datasetsopen source softwareData visualization[ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]polyglot storage020204 information systems0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Twitter analysis . SystemsComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryPolyglotInductive reasoningData science[SPI.TRON] Engineering Sciences [physics]/ElectronicsData independence[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsData model[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]Data architecturebusinessSoftware architecture
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The pure descent statistic on permutations

2017

International audience; We introduce a new statistic based on permutation descents which has a distribution given by the Stirling numbers of the first kind, i.e., with the same distribution as for the number of cycles in permutations. We study this statistic on the sets of permutations avoiding one pattern of length three by giving bivariate generating functions. As a consequence, new classes of permutations enumerated by the Motzkin numbers are obtained. Finally, we deduce results about the popularity of the pure descents in all these restricted sets. (C) 2017 Elsevier B.V. All rights reserved.

[ MATH ] Mathematics [math]Golomb–Dickman constantDistribution (number theory)PermutationStirling numbers of the first kindStirling number0102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsPermutationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONDiscrete Mathematics and CombinatoricsStirling number[MATH]Mathematics [math]0101 mathematicsPatternsStatisticMathematicsDiscrete mathematicsMathematics::Combinatorics010102 general mathematicsDescentParity of a permutationGray Code010201 computation theory & mathematicsRandom permutation statisticsDyck pathPopularity Fixed NumberDiscrete Mathematics
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Pattern statistics in faro words and permutations

2021

We study the distribution and the popularity of some patterns in $k$-ary faro words, i.e. words over the alphabet $\{1, 2, \ldots, k\}$ obtained by interlacing the letters of two nondecreasing words of lengths differing by at most one. We present a bijection between these words and dispersed Dyck paths (i.e. Motzkin paths with all level steps on the $x$-axis) with a given number of peaks. We show how the bijection maps statistics of consecutive patterns of faro words into linear combinations of other pattern statistics on paths. Then, we deduce enumerative results by providing multivariate generating functions for the distribution and the popularity of patterns of length at most three. Fina…

FOS: Computer and information sciencesMultivariate statisticsDistribution (number theory)Discrete Mathematics (cs.DM)Interlacing0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesTheoretical Computer ScienceCombinatoricsStatistics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]05A05 (Primary) 05A15 05A19 68R15 (Secondary)0202 electrical engineering electronic engineering information engineeringFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsLinear combinationMathematicsDiscrete mathematicsMathematics::Combinatorics020206 networking & telecommunicationsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Derangement010201 computation theory & mathematicsBijectionCombinatorics (math.CO)AlphabetComputer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Enumeration of Łukasiewicz paths modulo some patterns

2019

Abstract For any pattern α of length at most two, we enumerate equivalence classes of Łukasiewicz paths of length n ≥ 0 where two paths are equivalent whenever the occurrence positions of α are identical on these paths. As a byproduct, we give a constructive bijection between Motzkin paths and some equivalence classes of Łukasiewicz paths.

Discrete mathematicsMathematics::CombinatoricsModulo020206 networking & telecommunications0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesConstructiveTheoretical Computer ScienceCombinatoricsMathematics::Logic010201 computation theory & mathematics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]0202 electrical engineering electronic engineering information engineeringEnumerationBijectionMathematics - CombinatoricsDiscrete Mathematics and CombinatoricsComputingMilieux_MISCELLANEOUSMathematics
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Dyck paths with a first return decomposition constrained by height

2018

International audience; We study the enumeration of Dyck paths having a first return decomposition with special properties based on a height constraint. We exhibit new restricted sets of Dyck paths counted by the Motzkin numbers, and we give a constructive bijection between these objects and Motzkin paths. As a byproduct, we provide a generating function for the number of Motzkin paths of height k with a flat (resp. with no flats) at the maximal height. (C) 2018 Elsevier B.V. All rights reserved.KeywordsKeyWords Plus:STATISTICS; STRINGS

Discrete mathematicsMathematics::CombinatoricsFirst return decompositionDyck and Motzkin pathsEnumerationHeightStatisticsGenerating function0102 computer and information sciences01 natural sciencesConstructiveTheoretical Computer ScienceConstraint (information theory)Combinatorics010104 statistics & probability010201 computation theory & mathematicsEnumerationBijectionDecomposition (computer science)Discrete Mathematics and CombinatoricsStrings0101 mathematics[MATH]Mathematics [math]MathematicsPeak
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Forests and pattern-avoiding permutations modulo pure descents

2018

Abstract We investigate an equivalence relation on permutations based on the pure descent statistic. Generating functions are given for the number of equivalence classes for the set of all permutations, and the sets of permutations avoiding exactly one pattern of length three. As a byproduct, we exhibit a permutation set in one-to-one correspondence with forests of ordered binary trees, which provides a new combinatorial class enumerated by the single-source directed animals on the square lattice. Furthermore, bivariate generating functions for these sets are given according to various statistics.

Combinatorics010201 computation theory & mathematicsModulo010102 general mathematics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]0102 computer and information sciences0101 mathematics[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesComputingMilieux_MISCELLANEOUSMathematics
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A la recherche des mini-publics : un problème de communautés, de singularités et de sémantique

2016

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Clique Percolation Method: Memory Efficient Almost Exact Communities

2022

Automatic detection of relevant groups of nodes in large real-world graphs, i.e. community detection, has applications in many fields and has received a lot of attention in the last twenty years. The most popular method designed to find overlapping communities (where a node can belong to several communities) is perhaps the clique percolation method (CPM). This method formalizes the notion of community as a maximal union of $k$-cliques that can be reached from each other through a series of adjacent $k$-cliques, where two cliques are adjacent if and only if they overlap on $k-1$ nodes. Despite much effort CPM has not been scalable to large graphs for medium values of $k$. Recent work has sho…

Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysics - Physics and Society[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]FOS: Physical sciences[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Social and Information NetworksPhysics and Society (physics.soc-ph)[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]Computer Science - Information Retrieval[PHYS.PHYS.PHYS-SOC-PH] Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]Information Retrieval (cs.IR)MathematicsofComputing_DISCRETEMATHEMATICS
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Papersᵞ, Discussing board for scientific papers

2015

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Pattern distribution in faro words and permutations

2020

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]ComputingMilieux_MISCELLANEOUS
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Évaluation de l’influence dans un réseau multi-relationnel : le cas de Twitter

2016

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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SNFreezer: a Platform for Harvesting and Storing Tweets in a Big Data Context

2016

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Packing coloring and subsets preserving path distance

2016

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]ComputingMilieux_MISCELLANEOUS
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(Re)constuire la temporalité d’un événement médiatique sur Twitter : une étude contrastive

2016

International audience; En examinant la temporalité d’un « événement » sur Twitter, à travers les tweets d’acteurs politiques dans quatre pays, cette étude contribue à enrichir notre compréhension du processus de médiatisation de la communication politique via les réseaux socio-numériques. A partir des traces laissées sur le réseau par ses utilisateurs, la contribution cherche à identifier un « événement » médiaté qui se manifesterait dans des discours des acteurs politiques comparés à la twittosphère. This study proposes to enrich our understanding of the mediatization of political communication via digital social networks, by examining the temporality of an “event” on Twitter, through the…

analyse contrastivecommunication politique[SHS.INFO]Humanities and Social Sciences/Library and information sciencesTwitterMedia eventpolitical communication[SHS.INFO] Humanities and Social Sciences/Library and information sciencestemporalitycontrastive analysisTemporalité d’un événement médiatique
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Évaluation de l’influence polarisée dans un réseau multi-relationnel : application à twitter

2017

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Temporal density of complex networks and ego-community dynamics

2016

International audience

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Pattern avoiding permutations modulo pure descent

2017

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]ComputingMilieux_MISCELLANEOUS
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Q-bonacci words and numbers

2022

We present a quite curious generalization of multi-step Fibonacci numbers. For any positive rational $q$, we enumerate binary words of length $n$ whose maximal factors of the form $0^a1^b$ satisfy $a = 0$ or $aq > b$. When $q$ is an integer we rediscover classical multi-step Fibonacci numbers: Fibonacci, Tribonacci, Tetranacci, etc. When $q$ is not an integer, obtained recurrence relations are connected to certain restricted integer compositions. We also discuss Gray codes for these words, and a possibly novel generalization of the golden ratio.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
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Grand Dyck paths with air pockets

2022

Grand Dyck paths with air pockets (GDAP) are a generalization of Dyck paths with air pockets by allowing them to go below the $x$-axis. We present enumerative results on GDAP (or their prefixes) subject to various restrictions such as maximal/minimal height, ordinate of the last point and particular first return decomposition. In some special cases we give bijections with other known combinatorial classes.

FOS: Computer and information sciences[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Discrete Mathematics (cs.DM)FOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)Computer Science - Discrete Mathematics
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Évaluation de l’influence dans un réseau multi-relationnel

2016

L'influence sur Twitter est devenue un sujet de recherche important. Certains utilisateurs révèlent plus de capacité que d'autres pour influencer les personnes avec lesquelles ils sont connectés. Ainsi, trouver les utilisateurs les plus influents peut permettre une diffusion efficace de l'information à grande échelle, action très utile dans le marketing ou les campagnes politiques. Dans cet article, nous proposons une nouvelle approche pour l'évaluation de l'influence dans les réseaux multi-relationnels tels que Twitter. Notre méthode est basée sur la règle de combinaison conjonctive de la théorie des fonctions de croyance qui permet de fusionner différents types de relations. Nous expérime…

[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]
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Fibonacci q-decreasing words: enumerative results and Gray codes

2022

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]
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Qubonacci words

2021

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]ComputingMilieux_MISCELLANEOUS
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Motzkin Paths With a Restricted First Return Decomposition

2019

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]ComputingMilieux_MISCELLANEOUS
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Asymptotic bit frequency in Fibonacci words

2021

It is known that binary words containing no $k$ consecutive 1s are enumerated by $k$-step Fibonacci numbers. In this note we discuss the expected value of a random bit in a random word of length $n$ having this property.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]FOS: Computer and information sciences[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Mathematics::CombinatoricsDiscrete Mathematics (cs.DM)[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Combinatorics (math.CO)[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Evaluation de l’influence sur Twitter: Application au projet « Twitter aux Elections Européennes 2014 »

2015

International audience

Twitter[ SHS.LANGUE ] Humanities and Social Sciences/Linguistics[SHS.LANGUE]Humanities and Social Sciences/Linguistics[SHS.LANGUE] Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUS
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Un observatoire pour la modélisation et l’analyse des réseaux multi-relationnels. Une application à l'étude du discours politique sur Twitter

2017

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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A web application for event detection and exploratory data analysis for Twitter data

2015

International audience

[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][SHS.INFO]Humanities and Social Sciences/Library and information sciences[SHS.INFO] Humanities and Social Sciences/Library and information sciencesComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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