Maximilien Danisch

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Jean-Loup GuillaumeLaboratoire Informatique, Image et Interaction - Université de la RochelleVerified email at univ-lr.fr
Mauro SozioProfessor of Computer Science at Institut Polytechnique de Paris, Telecom ParisVerified email at telecom-paristech.fr
Bénédicte Le GrandProfesseur en Informatique, Université Paris 1 Panthéon SorbonneVerified email at univ-paris1.fr
Bivas MitraDepartment of Computer Science and Engineering, Indian Institute of Technology Kharagpur, IndiaVerified email at cse.iitkgp.ac.in
Hernan MakseCity University of New YorkVerified email at ccny.cuny.edu
Yuliang JinInstitute of Theoretical Physics, Chinese Academy of SciencesVerified email at mail.itp.ac.cn
Oana BalalauInria and École PolytechniqueVerified email at inria.fr
Qinna WangVerified email at ens-lyon.fr
T-H. Hubert ChanDepartment of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Soumajit PramanikAssistant Professor, IIT BhilaiVerified email at iitbhilai.ac.in
Nicolas DuguéAssociate professor, University of Le MansVerified email at univ-lemans.fr
Emmanuel OrsiniVerified email at polytechnique.edu
Sergey KirgizovMaître de conférences, LIB, Université de BourgogneVerified email at u-bourgogne.fr
Adrian BauleSchool of Mathematical Sciences, Queen Mary University of LondonVerified email at qmul.ac.uk
Darko ObradovicDFKIVerified email at dfki.uni-kl.de
Raphaël Fournier-S'niehotta (Fournier)CNAM ParisVerified email at raphaelfournier.net
Stéphane RauxPhD Student, Liafa and LinkfluenceVerified email at liafa.jussieu.fr
Eric LECLERCQProfessor of Computer Science, Université de BourgogneVerified email at u-bourgogne.fr
Noé GaumontLIP6Verified email at lip6.fr

Maximilien Danisch

Associate professor at LIP6, Sorbonne University and CNRS

Verified email at lip6.fr - Homepage

complex networks real-world graph algorithmics graph mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Listing k-cliques in sparse real-world graphs M Danisch, O Balalau, M Sozio Proceedings of the 2018 World Wide Web Conference, 589-598, 2018	162	2018
Large scale density-friendly graph decomposition via convex programming M Danisch, THH Chan, M Sozio Proceedings of the 26th International Conference on World Wide Web, 233-242, 2017	81	2017
Model of random packings of different size balls M Danisch, Y Jin, HA Makse Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (5 …, 2010	76	2010
Louvainne: Hierarchical louvain method for high quality and scalable network embedding AK Bhowmick, K Meneni, M Danisch, JL Guillaume, B Mitra Proceedings of the 13th international conference on web search and data …, 2020	55	2020
Kclist++: A simple algorithm for finding k-clique densest subgraphs in large graphs B Sun, M Danisch, THH Chan, M Sozio Proceedings of the VLDB Endowment (PVLDB), 2020	49	2020
Finding heaviest k-subgraphs and events in social media M Letsios, OD Balalau, M Danisch, E Orsini, M Sozio 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016	32	2016
Towards multi-ego-centred communities: a node similarity approach M Danisch, JL Guillaume, B Le Grand International Journal of Web Based Communities 9 (3), 299-322, 2013	30	2013
On the importance of considering social capitalism when measuring influence on Twitter M Danisch, N Dugué, A Perez BESC 2014-International Conference on Behavioral, Economic, and Socio …, 2014	26	2014
Modeling cascade formation in Twitter amidst mentions and retweets S Pramanik, Q Wang, M Danisch, JL Guillaume, B Mitra Social Network Analysis and Mining 7, 1-18, 2017	23	2017
Local triangle-densest subgraphs R Samusevich, M Danisch, M Sozio 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016	15	2016
On the role of mentions on tweet virality S Pramanik, Q Wang, M Danisch, S Bandi, A Kumar, JL Guillaume, ... 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016	14	2016
Clique percolation method: memory efficient almost exact communities A Baudin, M Danisch, S Kirgizov, C Magnien, M Ghanem International Conference on Advanced Data Mining and Applications, 113-127, 2022	10	2022
Mesures de proximité appliquées à la détection de communautés dans les grands graphes de terrain M Danisch Université Pierre et Marie Curie-Paris VI, 2015	10	2015
Unfolding ego-centered community structures with “a similarity approach” M Danisch, JL Guillaume, B Le Grand Complex Networks IV: Proceedings of the 4th Workshop on Complex Networks …, 2013	9	2013
A reliable and evolutive web application to detect social capitalists N Dugué, A Perez, M Danisch, F Bridoux, A Daviau, T Kolubako, S Munier, ... Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015	6	2015
Multi-ego-centered communities in practice M Danisch, JL Guillaume, B Le Grand Social network analysis and mining 4, 1-10, 2014	6	2014
Direct generation of random graphs exactly realising a prescribed degree sequence D Obradović, M Danisch 2014 6th International Conference on Computational Aspects of Social …, 2014	6	2014
An empirical approach towards an efficient “whom to mention?” Twitter app S Pramanik, M Danisch, Q Wang, B Mitra Twitter for Research, 1st International & Interdisciplinary Conference, 2015	5	2015
Mining bipartite graphs to improve semantic pedophile activity detection R Fournier, M Danisch 2014 IEEE Eighth International Conference on Research Challenges in …, 2014	5	2014
Learning a proximity measure to complete a community M Danisch, JL Guillaume, B Le Grand 2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014	4	2014

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