Visual mining of epidemic networks

Stéphan Clémençon; Hector De Arazoza; Fabrice Rossi; Viet Chi Tran

doi:10.1007/978-3-642-21498-1_35

Visual mining of epidemic networks

Stéphan Clémençon
, Hector De Arazoza
, Fabrice Rossi
, Viet Chi Tran

CNRS LTCI
Universidad de La Habana
CNRS UMR 8524

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

4 Citations (Scopus)

Résumé

We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.

langue originale	Anglais
titre	Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Pages	276-283
Nombre de pages	8
Edition	PART 2
Les DOIs	https://doi.org/10.1007/978-3-642-21498-1_35
état	Publié - 8 juin 2011
Modification externe	Oui
Evénement	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Espagne Durée: 8 juin 2011 → 10 juin 2011

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
nombre	PART 2
Volume	6692 LNCS
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Pays/Territoire	Espagne
La ville	Torremolinos-Malaga
période	8/06/11 → 10/06/11

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 3 Bonne santé et bien-être

Accès au document

10.1007/978-3-642-21498-1_35

Contient cette citation

Clémençon, S., De Arazoza, H., Rossi, F., & Tran, V. C. (2011). Visual mining of epidemic networks. Dans Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings (PART 2 Ed., p. 276-283). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 6692 LNCS, Numéro PART 2). https://doi.org/10.1007/978-3-642-21498-1_35

Clémençon, Stéphan ; De Arazoza, Hector ; Rossi, Fabrice et al. / Visual mining of epidemic networks. Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2. Ed. 2011. p. 276-283 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{ff8c4e4dbf1748388a057ea1077d1e92,

title = "Visual mining of epidemic networks",

abstract = "We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.",

author = "St{\'e}phan Cl{\'e}men{\c c}on and \{De Arazoza\}, Hector and Fabrice Rossi and Tran, \{Viet Chi\}",

year = "2011",

month = jun,

day = "8",

doi = "10.1007/978-3-642-21498-1\_35",

language = "English",

isbn = "9783642214974",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "276--283",

booktitle = "Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings",

edition = "PART 2",

note = "11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 ; Conference date: 08-06-2011 Through 10-06-2011",

}

Clémençon, S, De Arazoza, H, Rossi, F & Tran, VC 2011, Visual mining of epidemic networks. Dans Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Numéro PART 2, VOL. 6692 LNCS, p. 276-283, 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011, Torremolinos-Malaga, Espagne, 8/06/11. https://doi.org/10.1007/978-3-642-21498-1_35

Visual mining of epidemic networks. / Clémençon, Stéphan; De Arazoza, Hector; Rossi, Fabrice et al.
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2. Ed. 2011. p. 276-283 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 6692 LNCS, Numéro PART 2).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Visual mining of epidemic networks

AU - Clémençon, Stéphan

AU - De Arazoza, Hector

AU - Rossi, Fabrice

AU - Tran, Viet Chi

PY - 2011/6/8

Y1 - 2011/6/8

N2 - We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.

AB - We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.

U2 - 10.1007/978-3-642-21498-1_35

DO - 10.1007/978-3-642-21498-1_35

M3 - Conference contribution

AN - SCOPUS:79957935303

SN - 9783642214974

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 276

EP - 283

BT - Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings

T2 - 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011

Y2 - 8 June 2011 through 10 June 2011

ER -

Clémençon S, De Arazoza H, Rossi F, Tran VC. Visual mining of epidemic networks. Dans Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings. PART 2 Ed. 2011. p. 276-283. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-21498-1_35

Visual mining of epidemic networks

Résumé

Série de publications

Une conférence

SDG des Nations Unies

Accès au document

Empreinte digitale

Contient cette citation