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Danisch, Maximilien
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1

Clique Percolation Method: Memory Efficient Almost Exact Co..:

, In: Advanced Data Mining and Applications; Lecture Notes in Computer Science,
Baudin, Alexis ; Danisch, Maximilien ; Kirgizov, Sergey.. - p. 113-127 , 2022
Link: https://doi.org/10.1007/..
 
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2

A Fast Algorithm for Ranking Users by their Influence in On..:

, In: 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM),
Arhachoui, Nouamane ; Bautista, Esteban ; Danisch, Maximilien. - p. 526-533 , 2022
Link: https://doi.org/10.1109/..
 
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3

LouvainNE : Hierarchical Louvain Method for High Quality..:

, In: Proceedings of the 13th International Conference on Web Search and Data Mining,
Bhowmick, Ayan Kumar ; Meneni, Koushik ; Danisch, Maximilien.. - p. 43-51 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

KClist++: a simple algorithm for finding k-clique densest s..:

Sun, Bintao ; Danisch, Maximilien ; Chan, T-H. Hubert.
Proceedings of the VLDB Endowment.  13 (2020)  10 - p. 1628-1640 , 2020
Link: https://doi.org/10.14778..
 
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5

Listing k-cliques in Sparse Real-World Graphs*:

, In: Proceedings of the 2018 World Wide Web Conference,
Danisch, Maximilien ; Balalau, Oana ; Sozio, Mauro - p. 589-598 , 2018
Link: https://dl.acm.org/doi/1..
 
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6

Easy-Mention: a model-driven mention recommendation heurist..:

Pramanik, Soumajit ; Sharma, Mohit ; Danisch, Maximilien...
International Journal of Data Science and Analytics.  7 (2018)  2 - p. 131-147 , 2018
Link: https://doi.org/10.1007/..
 
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7

Modeling cascade formation in Twitter amidst mentions and r..:

Pramanik, Soumajit ; Wang, Qinna ; Danisch, Maximilien..
Social Network Analysis and Mining.  7 (2017)  1 - p. , 2017
Link: https://doi.org/10.1007/..
 
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8

Large Scale Density-friendly Graph Decomposition via Convex..:

, In: Proceedings of the 26th International Conference on World Wide Web,
Danisch, Maximilien ; Chan, T.-H. Hubert ; Sozio, Mauro - p. 233-242 , 2017
Link: https://dl.acm.org/doi/1..
 
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9

Local triangle-densest subgraphs:

, In: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining,
Samusevich, Raman ; Danisch, Maximilien ; Sozio, Mauro - p. 33-40 , 2016
Link: https://dl.acm.org/doi/1..
 
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10

A reliable and evolutive web application to detect social c..:

, In: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015,
Dugué, Nicolas ; Perez, Anthony ; Danisch, Maximilien... - p. 741-744 , 2015
Link: https://dl.acm.org/doi/1..
 
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11

Multi-ego-centered communities in practice:

Danisch, Maximilien ; Guillaume, Jean-Loup ; Le Grand, Bénédicte
Social Network Analysis and Mining.  4 (2014)  1 - p. , 2014
Link: https://doi.org/10.1007/..
 
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12

Calculation of the Voronoi boundary for lens-shaped particl..:

Portal, Louis ; Danisch, Maximilien ; Baule, Adrian..
Journal of Statistical Mechanics: Theory and Experiment.  2013 (2013)  11 - p. P11009 , 2013
Link: https://doi.org/10.1088/..
 
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13

Publisher's Note: Model of random packings of different siz..:

Danisch, Maximilien ; Jin, Yuliang ; Makse, Hernan A.
Physical Review E.  81 (2010)  6 - p. , 2010
Link: https://doi.org/10.1103/..
 
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14

Model of random packings of different size balls:

Danisch, Maximilien ; Jin, Yuliang ; Makse, Hernan A.
Physical Review E.  81 (2010)  5 - p. , 2010
Link: https://doi.org/10.1103/..
 
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15

Scalable Algorithms to Measure User Influence in Social Net..:

Arhachoui, Nouamane ; Bautista, Esteban ; Danisch, Maximilien..
hal-04317506.  , 2023
Link: https://hal.science/hal-..
 
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