Inproceedings: an article in a conference proceedings.
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)
COMPLEX NETWORKS: International Conference on Complex Networks and their Applications
Cherifi C., Cherifi H., Karsai M., Musolesi M.
Studies in Computational Intelligence
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.
Textual Cartography, Community detection, Complex network, Topicmodeling, Soft clustering, Modularity
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