Automatic organisation of documents using network analysis techniques
DOI:
https://doi.org/10.54886/scire.v1i2.4453Keywords:
Automatic classification, Clustering, Social Network AnalysisAbstract
Automatic organization of documents can show the semantic structure of broad collections of documents. This paper proposes to model a document collection using a graph or network and then applying the so-called Social Networks Analysis techniques. We describe a practical experiment carried out with a collection of newspaper articles, and then we analyze the topic structure resulting after applying community discovery techniques. Results look enough promising; we envisage as future work the application and comparison of different communities discovery algorithms.
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Copyright (c) 2017 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
