Activity date estimation in timestamped interaction networks

Fabrice Rossi; Pierre Latouche

Activity date estimation in timestamped interaction networks

Fabrice Rossi
, Pierre Latouche

Université Paris 1 Panthéon-Sorbonne

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

Résumé

We propose in this paper a new generative model for graphs that uses a latent space approach to explain timestamped interactions. The model is designed to provide global estimates of activity dates in historical networks where only the interaction dates between agents are known with reasonable precision. Experimental results show that the model provides better results than local averages in dense enough networks.

langue originale	Anglais
titre	ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Editeur	i6doc.com publication
Pages	113-118
Nombre de pages	6
ISBN (imprimé)	9782874190810
état	Publié - 1 janv. 2013
Modification externe	Oui
Evénement	21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013 - Bruges, Belgique Durée: 24 avr. 2013 → 26 avr. 2013

Série de publications

Nom	ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Une conférence

Une conférence	21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013
Pays/Territoire	Belgique
La ville	Bruges
période	24/04/13 → 26/04/13

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Rossi, F., & Latouche, P. (2013). Activity date estimation in timestamped interaction networks. Dans ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (p. 113-118). (ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning). i6doc.com publication.

Rossi, Fabrice ; Latouche, Pierre. / Activity date estimation in timestamped interaction networks. ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2013. p. 113-118 (ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

@inproceedings{03ad5a86b64a4db1a08fd42da594c0a7,

title = "Activity date estimation in timestamped interaction networks",

abstract = "We propose in this paper a new generative model for graphs that uses a latent space approach to explain timestamped interactions. The model is designed to provide global estimates of activity dates in historical networks where only the interaction dates between agents are known with reasonable precision. Experimental results show that the model provides better results than local averages in dense enough networks.",

author = "Fabrice Rossi and Pierre Latouche",

year = "2013",

month = jan,

day = "1",

language = "English",

isbn = "9782874190810",

series = "ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

publisher = "i6doc.com publication",

pages = "113--118",

booktitle = "ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

note = "21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013 ; Conference date: 24-04-2013 Through 26-04-2013",

}

Rossi, F & Latouche, P 2013, Activity date estimation in timestamped interaction networks. Dans ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, i6doc.com publication, p. 113-118, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013, Bruges, Belgique, 24/04/13.

Activity date estimation in timestamped interaction networks. / Rossi, Fabrice; Latouche, Pierre.
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, 2013. p. 113-118 (ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

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 - Activity date estimation in timestamped interaction networks

AU - Rossi, Fabrice

AU - Latouche, Pierre

PY - 2013/1/1

Y1 - 2013/1/1

N2 - We propose in this paper a new generative model for graphs that uses a latent space approach to explain timestamped interactions. The model is designed to provide global estimates of activity dates in historical networks where only the interaction dates between agents are known with reasonable precision. Experimental results show that the model provides better results than local averages in dense enough networks.

AB - We propose in this paper a new generative model for graphs that uses a latent space approach to explain timestamped interactions. The model is designed to provide global estimates of activity dates in historical networks where only the interaction dates between agents are known with reasonable precision. Experimental results show that the model provides better results than local averages in dense enough networks.

UR - https://www.scopus.com/pages/publications/84887037297

M3 - Conference contribution

AN - SCOPUS:84887037297

SN - 9782874190810

T3 - ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

SP - 113

EP - 118

BT - ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

PB - i6doc.com publication

T2 - 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013

Y2 - 24 April 2013 through 26 April 2013

ER -

Rossi F, Latouche P. Activity date estimation in timestamped interaction networks. Dans ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication. 2013. p. 113-118. (ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Activity date estimation in timestamped interaction networks

Résumé

Série de publications

Une conférence

Autres fichiers et liens

Empreinte digitale

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