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
Facultad de Matematica y Computacion
Universidad de La Habana
CNRS UMR 8524

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Pages	276-283
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-21498-1_35
Publication status	Published - 8 Jun 2011
Externally published	Yes
Event	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Spain Duration: 8 Jun 2011 → 10 Jun 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6692 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Country/Territory	Spain
City	Torremolinos-Malaga
Period	8/06/11 → 10/06/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

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

Cite this

Clémençon, S., De Arazoza, H., Rossi, F., & Tran, V. C. (2011). Visual mining of epidemic networks. In Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings (PART 2 ed., pp. 276-283). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6692 LNCS, No. 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. pp. 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",

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

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

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Clémençon, S, De Arazoza, H, Rossi, F & Tran, VC 2011, Visual mining of epidemic networks. in 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), no. PART 2, vol. 6692 LNCS, pp. 276-283, 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011, Torremolinos-Malaga, Spain, 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, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In 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

Abstract

Publication series

Conference

UN SDGs

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Cite this