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

Details

Ressource 1Download: Paper216.pdf (9093.16 [Ko])
State: Serval
Version: Author's accepted manuscript
Serval ID
serval:BIB_5057954C59F5
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks
Title of the conference
Complex Networks & Their Applications VI. Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
Author(s)
Egloff M., Ceré R.
Publisher
Springer
Organization
COMPLEX NETWORKS: International Conference on Complex Networks and their Applications
Address
Lyon, France
ISBN
978-3-319-72149-1 (Print)
978-3-319-72150-7 (Online)
ISSN
1860-949X (Print)
1860-9503 (Online)
Publication state
Published
Issued date
2018
Peer-reviewed
Oui
Editor
Cherifi C., Cherifi H., Karsai M., Musolesi M.
Volume
689
Series
Studies in Computational Intelligence
Pages
731-743
Language
english
Abstract
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.
Keywords
Textual Cartography, Community detection, Complex network, Topicmodeling, Soft clustering, Modularity
Open Access
Yes
Create date
18/12/2017 11:50
Last modification date
08/05/2019 18:31
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