Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks

Détails

Ressource 1Télécharger: Paper216.pdf (9093.16 [Ko])
Etat: Serval
Version: Author's accepted manuscript
ID Serval
serval:BIB_5057954C59F5
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks
Titre de la conférence
Complex Networks & Their Applications VI. Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
Auteur(s)
Egloff M., Ceré R.
Editeur
Springer
Organisation
COMPLEX NETWORKS: International Conference on Complex Networks and their Applications
Adresse
Lyon, France
ISBN
978-3-319-72149-1 (Print)
978-3-319-72150-7 (Online)
ISSN
1860-949X (Print)
1860-9503 (Online)
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Editeur scientifique
Cherifi C., Cherifi H., Karsai M., Musolesi M.
Volume
689
Série
Studies in Computational Intelligence
Pages
731-743
Langue
anglais
Résumé
Soft textual cartography is an original approach aimed to study communities on spatially embedded and textually defined complex weighted networks. The present approach relies on the integration of topic modeling and soft clustering procedures. These two aspects can be combined using topic distances, and weighted unoriented networks representing the spatial configuration; their synergy is promising in topic interpretation and geographical information retrieval. This paper proposes an unified formalism, underlining the compatibility of the two aspects, as illustrated on the textual descriptions of the municipalities of the canton of Vaud, Switzerland. It also points to possible extensions and applications of the method, potentially useful for dealing with the ever growing amount of georeferenced textual content.
Mots-clé
Textual Cartography, Community detection, Complex network, Topicmodeling, Soft clustering, Modularity
Open Access
Oui
Création de la notice
18/12/2017 11:50
Dernière modification de la notice
08/05/2019 18:31
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